• « Le Roi Jéhan » Une histoire pas si moyenâgeuse sur la masculinité, le pouvoir et ses secrets, et un livre concept : on accéde à une double-lecture à l’aide d’un filtre rouge, qui modernise le récit et met les corps et les complexes à nu.

    Sans filtre rouge : Au royaume de Mont-Tournure, le roi Jéhan de Potiguigni, imbus de son pouvoir, tire à la courte paille chacun de ses jugements. Méprisé par son peuple, sourd aux conseils de sa reine, il part en guerre pour faire taire la colère populaire. À moins que ce ne soit pour fuir son plus grand secret...

    Avec filtre rouge : Car au royaume de Mont-Tounu, où l’on vit dévêtu, le roi Jéhan de Petitquiqui pense son sexe si petit que tout le monde en rit. Multipliant les conquêtes pour se rassurer, il délaisse la reine. Mais plus il tire sur sa paille pour la faire grandir, plus la moquerie gagne son entourage. Jusqu’à cette provocation du roi voisin, se targuant d’avoir la plus grosse…

    Comme on voit avec le gif

    Par Bénédicte et Marine des Mazery aux Éditions Lapin, 80 pages - 18 euros
    – (lien HS ?) https://librairie.lapin.org/all-parutions-2021/761-le-roi-jehan.html

    #livre #BD #masculinité #pouvoir

  • L’énigme Emahoy Tsegué-Maryam Guèbrou déchiffrée

    Histoire de la publication tant attendue de la musique pentatonique de la pianiste Emahoy Tsegué-Maryam Guèbrou, la « maestro du monastère » dont l’époustouflante biographie n’a d’égal que sa musique.



    #musique #Emahoy_Tsegué-Maryam_Guèbrou #piano #Éthiopie #Éthiopiques

  • Passerelle Eco n°76 : les fruits de la biodiversité - créer un verger écologique

    Dans nos régions, la nature évolue spontanément vers un état de forêt. Aussi, la forêt fruitière est une forme fort appréciée des permaculteurs. Dans cette revue nous présentons la création d’un verger écologique et autonome. Créer un verger écologique la biodiversité, condition nécessaire pour un verger autonome et écologique attirer et héberger les auxiliaires conception (design) en permaculture les différentes strates pour assurer une continuité du milieu de vie mise en place amendements naturels pour (...)

  • Un assistant dopé à l’IA pour programmer un peu à notre place, avec OpenAI et entraîné sur des milliards de lignes de code par microsoft github. Et on dirait que ça marche : le codeur rédige un prototype de fonction et le commentaire qui décrit ce qu’elle fait (dans Visual Studio ...) et l’assistant rédige le code. Si on lui demande, il propose d’autres versions.

    #programmation #IA #deep_learning #github #visualstudio #openAI #text_generation

  • Hosting SQLite databases on Github Pages (or any static file hoster) - Apr 17, 2021

    I was writing a tiny website to display statistics of how much sponsored content a Youtube creator has over time when I noticed that I often write a small tool as a website that queries some data from a database and then displays it in a graph, a table, or similar. But if you want to use a database, you either need to write a backend (which you then need to host and maintain forever) or download the whole dataset into the browser (which is not so great when the dataset is more than 10MB).

    In the past when I’ve used a backend server for these small side projects at some point some external API goes down or a key expires or I forget about the backend and stop paying for whatever VPS it was on. Then when I revisit it years later, I’m annoyed that it’s gone and curse myself for relying on an external service - or on myself caring over a longer period of time.

    Hosting a static website is much easier than a “real” server - there’s many free and reliable options (like GitHub, GitLab Pages, Netlify, etc), and it scales to basically infinity without any effort.

    So I wrote a tool to be able to use a real SQL database in a statically hosted website. Here’s a demo using the World Development Indicators dataset - a dataset with 6 tables and over 8 million rows (670 MiByte total).


    – article https://github.com/phiresky/sql.js-httpvfs
    – lib https://phiresky.github.io/blog/2021/hosting-sqlite-databases-on-github-pages

    #git #database #sql #api

  • In “This is your phone on feminism”, Maria Farrell recounts running an experiment in which at first she asks her audience if they “like or maybe even love [their] smartphones.” They all do. She then follows up to ask if they trust their smartphones: no more than a single, fast-faltering hand goes up. On this she remarks: “We love our phones, but we do not trust them. And love without trust is the definition of an abusive relationship.”

  • Google’s FLoC Is a Terrible Idea
    By Bennett Cyphers, March 3, 2021

    The third-party cookie is dying, and Google is trying to create its replacement.

    No one should mourn the death of the cookie as we know it. For more than two decades, the third-party cookie has been the lynchpin in a shadowy, seedy, multi-billion dollar advertising-surveillance industry on the Web; phasing out tracking cookies and other persistent third-party identifiers is long overdue. However, as the foundations shift beneath the advertising industry, its biggest players are determined to land on their feet.

    Google is leading the charge to replace third-party cookies with a new suite of technologies to target ads on the Web. And some of its proposals show that it hasn’t learned the right lessons from the ongoing backlash to the surveillance business model. This post will focus on one of those proposals, Federated Learning of Cohorts (FLoC), which is perhaps the most ambitious—and potentially the most harmful.

    FLoC is meant to be a new way to make your browser do the profiling that third-party trackers used to do themselves: in this case, boiling down your recent browsing activity into a behavioral label, and then sharing it with websites and advertisers. The technology will avoid the privacy risks of third-party cookies, but it will create new ones in the process. It may also exacerbate many of the worst non-privacy problems with behavioral ads, including discrimination and predatory targeting.

    Google’s pitch to privacy advocates is that a world with FLoC (and other elements of the “privacy sandbox”) will be better than the world we have today, where data brokers and ad-tech giants track and profile with impunity. But that framing is based on a false premise that we have to choose between “old tracking” and “new tracking.” It’s not either-or. Instead of re-inventing the tracking wheel, we should imagine a better world without the myriad problems of targeted ads.

    We stand at a fork in the road. Behind us is the era of the third-party cookie, perhaps the Web’s biggest mistake. Ahead of us are two possible futures.



    #google #floc #cookies #privacy #eff #vieprivee #cnil @PMO #quadraturedunet #R2R

    Update, April 9, 2021 : We’ve launched https://amifloced.org “Am I FLoCed”, a new site that will tell you whether your Chrome browser has been turned into a guinea pig for Federated Learning of Cohorts or FLoC, Google’s latest targeted advertising experiment.

    Other Links :

  • Three Ways the Pandemic Has Made the World Better - The Atlantic

    par Zeynep Tufekci

    This has been a year of terrible loss. People have lost loved ones to the pandemic. Many have gotten sick, and some are still suffering. Children have lost a year of school. Millions have lost a steady paycheck. Some have lost small businesses that they’d built for decades. Almost all of us have lost hugs and visits and travel and the joy of gathering together at a favorite restaurant and more.

    And yet, this year has also taught us much. Strange as it may sound, the coronavirus pandemic has delivered blessings, and it does not diminish our ongoing suffering to acknowledge them. In fact, recognizing them increases the chance that our society may emerge from this ordeal more capable, more agile, and more prepared for the future.

    Here are three ways the world has changed for the better during this awful year.

    1. We Now Know How to Code for Our Vaccines
    Perhaps the development that will have the most profound implications for future generations is the incredible advances in synthetic messenger RNA (mRNA) biotechnologies.

    But amid all this came historic developments. The new mRNA technology, on which several vaccines—notably Pfizer-BioNTech’s and Moderna’s—are based, is an epochal scientific and technical breakthrough. We are now coding for vaccines, and thanks to advances in science and industrial production, we can mass-produce them and figure out how to deliver them into our cells in a matter of months.

    This is all new. Neither Moderna nor BioNTech had a single approved product on the market before 2020. Each company essentially designed its vaccine on a computer over a weekend in January 2020—BioNTech’s took just a few hours, really. Both companies had vaccine candidates designed at least four weeks before the first confirmed U.S. COVID-19 fatality was announced, and Moderna was producing vaccine batches to be used for its trials more than a month before the World Health Organization declared a pandemic. In 2021, the companies together aim to produce billions of stunningly efficacious vaccine doses,

    The mRNA vaccines work differently. For these, scientists look at the genetic sequence of a virus, identify a crucial part—such as the spike protein, which it uses as a key to bind onto cells’ receptors in order to unlock and enter them—produce instructions to make just that part, and then send those instructions into our cells. After all, that’s what a virus does: It takes over our cells’ machinery to make more of itself. Except in this case, we instruct our cells to make only the spike portion to give our immune system practice with something that cannot infect us—the rest of the virus isn’t there!

    Until this year, that was the dream behind the synthetic mRNA technologies: a dream with few, scattered adherents, uphill battles, and nothing to show for it but promise. This year, it became a reality.

    In 2020, we figured out how to make messenger RNA with precision, by programming the exact code we wanted, producing it at scale (a printing press for messenger RNA!), and figuring out a way to inject it into people so the fragile mRNA makes it into our cells. The first step was pure programming: Uğur Şahin, the CEO of BioNTech, sat at his computer and entered the genetic code of the spike protein of the mysterious virus that had emerged in Wuhan. Moderna employees had done the same thing the weekend after the genomic sequence was released on January 10. The Moderna vaccine candidate was called mRNA-1273 because it encoded all of the 1,273 amino acids in the SARS-CoV-2 spike protein—the code was so small that it could all be represented with little less than half the number of characters that fit on a single-spaced page.

    The rest of the process relied on key scientific and industrial innovations that are quite recent. Messenger RNA are fragile—they disintegrate easily, as they are supposed to. The lipid nanoparticles we envelop them in to use as delivery systems were approved only in 2018. Plus, the viral spike protein is a notorious shape-shifter. It takes one form before it fuses with our cells and another one afterward. The latter, postfusion form did not work well at all for developing vaccines, and scientists only recently figured out how to stabilize a virus’ spike in its prefusion form.

    This may allow us, finally, to transition from a broadcast-only model of medicine, wherein drugs are meant to be identical for everyone in a particular group, to targeted, individualized therapies. Plus, these technologies are suitable for small-scale but cheap-enough production: a development that can help us treat rare diseases that afflict only a few thousand people each year, and are thus usually ignored by mass-market-oriented medical technologies.

    It’s also no coincidence that these two mRNA vaccines were the fastest to market. They can be manufactured rapidly and, crucially, updated blazingly fast. Şahin, the BioNTech CEO, estimates that six weeks is enough time for the company to start producing new boosters for whenever a new COVID-19 variant emerges. Pfizer and Moderna are both already working on boosters that better target the new variants we’ve seen so far, and the FDA has said it can approve these tweaks quickly.
    2. We Actually Learned How to Use Our Digital Infrastructure
    The internet, widespread digital connectivity, our many apps—it’s easy to forget how new most of this is. Zoom, the ubiquitous video service that became synonymous with pandemic work, and that so many of us are understandably a little sick of, is less than 10 years old. Same with the kind of broadband access that allowed billions to stream entertainment at home and keep in touch with family members and colleagues. Internet connectivity is far from perfect or equally distributed, but it has gotten faster and more expansive over the past decade; without it, the pandemic would have been much more miserable and costly.

    Technology also showed how we could make our society function better in normal times.

    According to the CDC, telehealth visits increased by 50 percent in the first quarter of 2020, compared with the same period in 2019. Such visits are clearly not appropriate for every condition, but when warranted, they can make it much easier for people to access medical help without worrying about transportation, child care, or excessive time away from work. Remote access to medical help has long been a request from people with disabilities and people in rural areas, for whom traveling to clinics can be an extra burden.

    Work, too, has been transformed. Suddenly, hundreds of millions of people around the world had to figure out how to get things done without going into the office. It turns out that for many white-collar jobs, this is not just possible; it comes with a variety of upsides.

    3. We’ve Unleashed the True Spirit of Peer Review and Open Science

    On January 10, 2020, an Australian virologist, Edward Holmes, published a modest tweet: “All, an initial genome sequence of the coronavirus associated with the Wuhan outbreak is now available at Virological.org here.” A microbiologist responded with “And so it begins!” and added a GIF of planes taking off. And so it did indeed begin: a remarkable year of open, rapid, collaborative, dynamic—and, yes, messy—scientific activity, which included ways of collaborating that would have been unthinkable even a few decades ago.

    Well, no more. When the pandemic hit, it simply wasn’t tenable to keep playing the old, slow, closed game, and the scientific community let loose. Peer review—the real thing, not just the formal version locked up by for-profit companies—broke out of its constraints. A good deal of the research community started publishing its findings as “preprints”—basically, papers before they get approved by formal publications—placing them in nonprofit scientific depositories that had no paywalls. The preprints were then fiercely and openly debated—often on social media, which is not necessarily the ideal place for it, but that’s what we had. Sometimes, the release of data was even faster: Some of the most important initial data about the immune response to the worrisome U.K. variant came from a Twitter thread by a tired but generous researcher in Texas. It showed true scientific spirit: The researcher’s lab was eschewing the prestige of being first to publish results in a manuscript by allowing others to get to work as fast as possible. The papers often also went through the formal peer review as well, eventually getting published in a journal, but the pandemic has forced many of these companies to drop their paywalls—besides, the preprints on which the final papers are based remain available to everyone.

    Working together, too, has expanded in ways that were hard to imagine without the new digital tools that allow for rapid sharing and collaboration, and also the sense of urgency that broke through disciplinary silos.

    The pandemic happened at a moment of convergence for medical and digital technology and social dynamics, which revealed enormous positive potential for people. Nothing will erase the losses we experienced. But this awful year has nudged us toward dramatic improvements in human life, thanks to new biotechnologies, greater experience with the positive aspects of digital connectivity, and a more dynamic scientific process.

    #Zeynep_Tufekci #Pandémie #Changement_social

  • Une poupée Barbie coincée entre deux livres de C&F éditions

    On apprend aujourd’hui dans Actulitté que Mattel, le fabricant des poupées Barbie vient de publier (avec succès) une poupée à l’effigie de la militante africaine-américaine et autrice Maya Angelou, au sein d’une collection Barbie de "femmes inspirantes" (qui comporte par exemple déjà Rosa Parks). https://actualitte.com/article/98429/insolite/mattel-commercialise-une-poupee-barbie-a-l-effigie-de-maya-angelou

    Cette annonce m’a évidemment fait bondir par son cynisme... mais il surtout significatif qu’elle entre en écho avec les deux derniers livres publiés par C&F éditions.

    Dans "L’usage de l’art", Fred Turner parle longuement des posters de militantes syndicalistes affichés sur les murs à l’intérieur des bureaux de Facebook.

    Et de s’étonner : « Les portraits de figures telles que Dolores Huerta, célèbre syndicaliste s’étant battue pour les droits des ouvriers agricoles aux États-Unis, ou de Shirley Chisholm, première Africaine-Américaine élue au Congrès sont affichés dans les bureaux de Facebook du monde entier. [...] Lorsque l’Analog Research Lab affiche une photo de Dolores Huerta sur les murs d’une entreprise dont les ingénieurs ne sont pas syndiqués, il montre son pouvoir de transformer les mouvements politiques les plus incarnés et institutionnalisés en actes d’expression décontextualisés. Sur une affiche, l’image de Dolores Huerta devient un signe, vidé de son histoire, et dès lors redéfini. Une image qui a autrefois pu inspirer des ouvriers agricoles précaires à descendre dans la rue pour manifester offre dorénavant aux ingénieurs des classes moyennes et supérieures une opportunité de célébrer la diversité d’identité au sein de leur entreprise. »

    En écho, Mattel proclame que la collection "Inspiring Women" réunit « des héroïnes incroyables de leur temps, des femmes courageuses qui ont pris des risques, changé les règles et ouvert la voie à des générations de femmes, les invitant à rêver au-delà des limites imposées ».

    Un même discours qui sacralise l’individu, mais noie son action collective derrière un gloubi-boulga marketing sur la liberté... Une liberté que Facebook comme Mattel sont loin d’offrir à leurs salarié·es.

    Dans un rapport publié en novembre 2020, plusieurs ONG dénoncent les humiliations, l’absence de droits et le harcèlement sexuel... dans les usines chinoises qui fabriquent les poupées Barbie "inspirantes". (https://admin.actionaid.fr/uploads/downloadFile/413/Mattel-factory-report-2020.pdf )

    « Salaires indignes, charge de travail infernale, logements insalubres, et parfois même travail forcé... Des détails choquants sur les conditions de travail en Chine ont été exposés les uns après les autres depuis les années 1980. [...] Cette année, nous publions les résultats d’une nouvelle enquête de plusieurs semaines dans une autre usine chinoise de Mattel, dont les résultats sont une fois de plus inquiétants. [...] Mattel a refusé de communiquer sur sa politique de lutte contre le harcèlement sexuel et n’a annoncé aucune mesure visant à éradiquer le harcèlement sexuel. »

    Ceci nous amène à parler du prochain livre publié par C&F éditions, qui va paraître le 1 février : « Red Mirror : L’avenir s’écrit en Chine ».

    Cet ouvrage de Simone Pieranni, que nous avons traduit de l’italien, s’intéresse à la manière dont la Chine est devenu le pôle principal de l’avenir du numérique et de l’intelligence artificielle. Il montre les ressorts de ce capitalisme numérique débridé... et notamment les conditions de travail dans les usines de fabrication du matériel informatique, comme dans les bureaux des ingénieures ou le travail à la tâche des "Turcs mécaniques" qui nourrissent l’ogre de l’intelligence artificielle. Un chapitre entier est consacré aux conditions de travail... et nous averti : ce qui se passe là-bas s’étend maintenant dans toutes les usines possédées par les multinationales chinoises. Une analyse confirmée par un article du 13 janvier 2021 sur les employé·es de Huawei en Europe (https://netzpolitik.org/2021/wolf-culture-how-huawei-controls-its-employees-in-europe - en anglais ).

    Parce que le numérique est dorénavant un moteur majeur de nos sociétés, il est devenu essentiel de comprendre les discours de ses entreprises de pointe. De mesurer combien ils servent avant tout à masquer l’émergence d’une forme nouvelle d’exploitation et de dépossession des outils collectifs au profits d’une sacralisation de l’individu... qui le laisse isolé face aux pressions sociales, politiques et culturelles du capitalisme numérique.

    Deux ouvrages en plein dans l’actualité.

    Bonne lecture,

    Hervé Le Crosnier

    Fred Turner
    L’usage de l’art. De Burning man à Facebook, art, technologie et management dans la Silicon Valley
    avec un cahier photo de Scott London et de l’intérieur de Facebook
    ISBN 978-2-37662-017-4 - 25 €

    Simone Pieranni
    Red Mirror : L’avenir s’écrit en Chine
    avec un cahier photo de Gilles Sabrié
    ISBN 978-2-37662-021-1 - 25 €
    (pré-commande. Disponible le 1 février)

    #Chine #travail #Red_Mirror #Usage_art #Simone_Pieranni #Fred_Turner

  • *Fans Are Better Than Tech at Organizing Information Online*

    Archive of Our Own, the fanfiction database recently nominated for a Hugo, has perfected a system of tagging that the rest of the web could emulate.

    Archive of Our Own, the fanfiction database recently nominated for a Hugo, has perfected a system of tagging that the rest of the web could emulate.

    Kudos to the fans. One of the nominees for the Hugo Awards this year is Archive of Our Own, a fanfiction archive containing nearly 5 million fanworks—about the size of the English Wikipedia, and several years younger. It’s not just the fanfic, fanart, fanvids, and other fanworks, impressive as they are, that make Archive of Our Own worthy of one of the biggest honors in science fiction and fantasy. It’s also the architecture of the site itself.

    At a time when we’re trying to figure out how to make the internet livable for humans, without exploiting other humans in the process, AO3 (AO3, to its friends) offers something the rest of tech could learn from.

    Here’s a problem that AO3 users, like the rest of the internet, encounter every day: How do you find a particular thing you’re interested in, while filtering out all the other stuff you don’t care about? Most websites end up with tags of some sort. I might look through a medical journal database for articles tagged “cataracts,” search a stock photo site for pictures tagged “businesspeople,” or click on a social media hashtag to see what people are saying about the latest episode of “GameOfThrones”.

    Gretchen McCulloch is WIRED’s resident linguist. She’s the cocreator of Lingthusiasm, a podcast that’s enthusiastic about linguistics, and her book {Because Internet: Understanding the New Rules of Language} comes out in July from Riverhead (Penguin).

    Tags are useful but they also have problems. Although “cataracts,” "businesspeople," and “GameOfThrones” might seem like the most obvious tags to me, someone else might have tagged these same topics “cataract surgery,” "businessperson," and “GoT”. Another person might have gone with “nuclear sclerosis” (a specific type of cataract), “office life,” and “Daenerys”. And so on.

    There are two main ways of dealing with the problem of tagging proliferation. One is to be completely laissez-faire—let posters tag whatever they want and hope searchers can figure out what words they need to look for. It’s easy to set up, but it tends to lead to an explosion of tags, as posters stack on more tags just in case and searchers don’t know which one is best. Laissez-faire tags are common on social media; if I post an aesthetic photo of a book I’m reading on Instagram, I have over 20 relevant tags to choose from, such as book books readers reader reading reads goodreads read booksofig readersofig booksofinstagram readersofinstagram readstagram bookstagram bookshelf bookshelves bookshelfie booknerd bookworm bookish bookphotography bookcommunity booklover booksbooksbooks bookstagrammer booktography readers readabook readmorebooks readingtime alwaysreading igreads instareads amreading. “Am reading” indeed—reading full paragraphs of tags.

    The other solution to the proliferation of competing tags is to implement a controlled, top-down, rigid tagging system. Just as the Dewey Decimal System has a single subcategory for Shakespeare so library browsers can be sure to find Hamlet near Romeo and Juliet, rigid tagging systems define a single list of non-overlapping tags and require that everyone use them. They’re more popular in professional and technical databases than in public-facing social media, but they’re a nice idea in theory—if you only allow the tag “cataract” then no one will have to duplicate effort by also searching under “cataracts” and “cataract surgery.”

    The problem is rigid tags take effort to learn; it’s hard to convince the general public to memorize a gigantic taxonomy. Also, they become outdated. Tagging systems are a way of imposing order on the real world, and the world doesn’t just stop moving and changing once you’ve got your nice categories set up. Take words related to gender and sexuality: The way we talk about these topics has evolved a lot in recent decades, but library and medical databases have been slower to keep up.

    The Archive of Our Own has none of these problems. It uses a third tagging system, one that blends the best elements of both styles.

    On AO3, users can put in whatever tags they want. (Autocomplete is there to help, but they don’t have to use it.) Then behind the scenes, human volunteers look up any new tags that no one else has used before and match them with any applicable existing tags, a process known as tag wrangling. Wrangling means that you don’t need to know whether the most popular tag for your new fanfic featuring Sherlock Holmes and John Watson is Johnlock or Sherwatson or John/Sherlock or Sherlock/John or Holmes/Watson or anything else. And you definitely don’t need to tag your fic with all of them just in case. Instead, you pick whichever one you like, the tag wranglers do their work behind the scenes, and readers looking for any of these synonyms will still be able to find you.

    AO3’s trick is that it involves humans by design—around 350 volunteer tag wranglers in 2019, up from 160 people in 2012—who each spend a few hours a week deciding whether new tags should be treated as synonyms or subsets of existing tags, or simply left alone. AO3’s Tag Wrangling Chairs estimate that the group is on track to wrangle about 2.7 million never-before-used tags in 2019, up from 2.4 million in 2018.

    Laissez-faire and rigid tagging systems both fail because they assume too much—that users can create order from a completely open system, or that a predefined taxonomy can encompass every kind of tag a person might ever want. When these assumptions don’t pan out, it always seems to be the user’s fault. AO3’s beliefs about human nature are more pragmatic, like an architect designing pathways where pedestrians have begun wearing down the grass, recognizing how variation and standardization can fit together. The wrangler system is one where ordinary user behavior can be successful, a system which accepts that users periodically need help from someone with a bird’s-eye view of the larger picture.

    Users appreciate this help. According to Tag Wrangling Chair briar_pipe, “We sometimes get users who come from Instagram or Tumblr or another unmoderated site. We can tell that they’re new to AO3 because they tag with every variation of a concept—abbreviations, different word order, all of it. I love how excited people get when they realize they don’t have to do that here.”

    Ça continue ici : https://www.wired.com/story/archive-of-our-own-fans-better-than-tech-organizing-information

    #Tags #tagging #nuage #themes #thématisation #nuage_de_tag j’ai du convertir en simple texte les tags cités en exemples dans l’article !

  • Projet familial en période de confinement : simulation de pandémie faite avec scratch, par mon fils Ulysse (10 ans).
    Au début, on choisit la taille de la population (en rose) et la contagiosité du virus entre 1 et 100. Une personne malade (en rouge) contamine alors les autres lors ses déplacements. Chaque jour un contaminé porteur sain (rouge) peut tomber malade (bleu) ou guérir (vert). Les malades s’immobilisent (à l’hôpital). Chaque jour, le malade peut guérir ou mourir (noir). Les malades, les guéris et les morts ne sont plus contaminants

  • Face au mépris des médias dominants, à leur traitement délétère des mouvements sociaux

    « Nous lançons un appel à l’ensemble des forces politiques de la gauche de gauche, aux journalistes et à leurs syndicats, aux collectifs de journalistes précaires, aux médias alternatifs comme à l’ensemble des usagers des médias, pour contester les dérives médiatiques actuelles et penser urgemment la réappropriation démocratique des médias (des) dominants ! ... »

    • Mais on peut aussi penser qu’il est possible de s’affirmer comme sujet politique et de s’engager auprès de la classe ouvrière sans parler à sa place. Cette prise de parole peut contribuer à esthétiser et par là invisibiliser la pénibilité toujours subie par 6,3 millions d’ouvrières et d’ouvriers. Rappelons qu’en France, alors qu’un homme ayant un emploi sur trois est un ouvrier, seules 3% des personnes interviewées à la télévision sont des ouvriers.

  • Key functions of an ecosystem of collaborative software tools:

    Universal Construction Kit — a 3D printable set of hybrid pieces that allows you to connect Legos with Tinkertoys, Lincoln Logs and more. Each toy “system” is a fixed set of possibilities or paradigms, but with these hybrid connectors, you can create anything you can imagine using pieces from half a dozen different systems.