Language teacher identity (LTI) is considered a critical element

Section 4 describes our qualitative, multi-sited methodology and analytical strategy.

remarkable agency that young return migrants deploy to navigate and resist adverse contexts.

age of emigration, age of return

variation in their experiences and identifying the variables that produce divergent outcomes.

“hypervisible and yet invisible”

extend beyond the academic, spilling into the linguistic, identitarian, and social dimensions, frequently generating significant social suffering

must develop their own strategies for acquiring Spanish

contrast to the U.S. education system

only English as a Foreign Language (EFL)

no public bilingual or dual-language schools

placed at a significant disadvantage

one “normal” and “correct”

ngle dominant linguistic code—Mexican Spanish

transnationalism

transnational students

monolingual and monocultural—nature

lack of support programs

not experienced as a homecoming but rather as a migration to a country that is paradoxically both familiar and alien

1.5 generation

significant demographic shift,

language, belonging, and identity.

clash between transnational life trajectories and national education systems

“I left for the U.S. when I was practically 7 months old, so I didn’t know how to speak Spanish.”

Battery storage can also help businesses store grid electricity when it is cheap for later use. It can also provide back-up during short power outages if correctly configured and when the state of charge is sufficient.

The Australian Government’s Solar Consumer Guide provides free and expert guidance on rooftop solar and batteries for your business

Where carbon reduction is the main focus, many businesses opt to purchase a proportion of GreenPower through an energy retailer.

Renewable energy can offer substantial cost savings compared with grid-supplied energy.

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souvent associé au phénomène de “cancel culture”.

la polarisation des débats. Cette dynamique peut conduite à une simplification excessive des situations complexes, dans lesquelles les individus sont rapidement classées comme coupables ou innocents, sans analyse approfondie.

les réseaux sociaux ont permis à de nombreuses victimes de violences de partager leurs expériences

The Spread of true and false news online (2017)

cancel culture

prendre le temps de vérifier les informations

dénonciation d’injustices

isolement social ou des troubles psychologiques

dimension procudérale

ni enquête, ni confrontation systématique des preuves

“cancel culture”

effet de masse

sur les réseauc sociaux l’émotion passe souvent avant la réfléxion.

coût par portée

Dans

a place de l’humain dans les interactions en ligne

coeur

choix

[Herbert A. Simon] (https://fr.wikipedia.org/wiki/Herbert_Simon)

crée un lien proche d’une relation personnelle.

spontané cache souvent un travail de mise en scène

Iron supplementation not keeping pace — escalate urgently

If fenebrutinib is not yet available, should ocrelizumab/rituximab be reconsidered as a bridge? (Previously declined, Sep 2025)

Phase 2 showed 30% disability worsening reduction in PPMS subgroup (n=152),

Earthquake risk assessment of building structures

A GIS-based earthquake damage assessment and settlement methodology

Building damage assessment after the 2009 Abruzzi earthquake

The real monster

To call it theft is accurate in my opinion, but then I'm a bigger believer in copyrigh

Feeling this for myself has only reinforced my belief that these models constitute an addictive substance.

As I felt myself bored to tears in this process, I realized that if this is what becomes of software development, not only will it be a terrible occupation,

There's a fundamental problem with these tools beyond the capacity of any deployment strategy to solve: the tool requires expertise to validate, but its use diminishes expertise and stunts its growth

the way mistakes can compound make this a dangerous proposition. This all worked with my small project, but a bigger one, with more dependencies or more complex project structures, would likely flummox the models. And reviewing changes across a more complex codebase becomes at once more difficult and more critical as the project size increases.

Programming agents might work, but there are a lot of ways they can go wrong. The amount of guardrails necessary to keep the model in check doesn't scale. The more steps of a process rely on generative output, the higher the potential for error and catastrophic failure. Any process that involves these models must strive to maximize determinism and minimize model variance.

I am privileged in that I can make these choices. Not everyone is so privileged. I am hesitant to condemn those who choose to accept the help that shows up, and in so doing fulfilling their obligations of care to those in their lives. Insofar as these models empower people to build something good, and do so without overmuch suffering on their part, we must reckon with the value proposition there. It is a benefit, but it does not eliminate the attendant harms.

This does not negate the dangerous externalities of the technology at large, but I can only adopt so much of that responsibility as an individual.

The help that showed up I turned to generative models not only as an experiment, but out of desperation. I had a need for code that did not exist. Nobody was going to help me build it, nor should I expect help for a project such as this. In the past, I would have cobbled together something quick-and-dirty, probably at the expense of my mental and physical health to get it done. This time, I had another option. In this limited scope, the model was beneficial to all involved: myself, TTI's community, and my family

More plainly: I have no reason to expect this technology can succeed at the same level in law, medicine, or any other highly human, highly subjective occupation.

The "works" in "it works" is scoped strictly to coding tasks. I have no evidence, and seemingly no one else does, that the same kind of success is available outside the world of highly structured language with deterministic outputs.

But CertGen, my certificate application, exists now. It didn't and couldn't without the help of a tool like Claude Code.

I'm not entirely onboard with Mike Masnick's optimistic view of this technology's democratizing power. I don't think it's as easy to separate the tech from its provenance or corporate control

I simply could not have built this project as well or as quickly without help. And as other developers have noted, this is the help that's showing up.

One time, during a security fix, the model's code introduced a non-obvious DoS vector. Well, obvious from the perspective of how the code would be deployed, but not from the code itself. That's exactly why reading each change was so important. Once the issue was pointed out, the model produced code that both addressed the security issue and avoided the DoS.

I do know the code very well by way of careful reading of the code, the relevant libraries' documentation, and the proposed changes during the code's creation. But that safety comes down to human discipline. It is entirely possible (probable?) to take the easy road and trust the model to do the right thing.

In this case, I was the audience rather than the author. I had to back my way into understanding the code, carefully reading and understanding the structure after it had been built. This is much more common for developers who work on large teams or with codebases they didn't build themselves. I have not had as much experience with that kind of development, so this all felt a little awkward.

Although I read each proposed change, knowing the codebase deeply was much more challenging. When I write a new application myself, I'm building an elaborate house of cards in my head, a gossamer structure of interlinked ideas and goals. It's a story I'm telling myself in code—and ultimately, a story I share with users.

"Human in the loop" is necessary, but the current process itself makes the loop stultifying, and encourages the human to take themselves out of the loop. That process is straight up dangerous. The temptation to let it rip is always there, and I didn't even have a boss pressuring me to ship code.

It was so tempting to press 2: "Yes, and accept all changes for this session." Why wouldn't you? If you're accepting them all manually, what's the harm? What's the harm? harm harm harm harm Yeah, that's how you get got in this process. Once you stop scrutinizing the model's output, the probability something goes off the rails approaches 1.

I hated writing software this way. Forget the output for a moment; the process was excruciating. Most of my time was spent reading proposed code changes and pressing the 1 key to accept the changes, which I almost always did. I was basically Homer's drinking bird.

we need to be grown-ups and entertain some seemingly contradicting ideas at the same time, okay?

Methodology To maximize determinism, each step of the build used test-driven development (TDD). Using the Markdown planning file as a starting point, the model generated tests for functions that would define the features, then implemented each in turn. After each coding round, cargo check and cargo test were run to confirm compilation and test passing. I reviewed every line of code the model generated. For initial drafts, very little had to change. Now to be fair, this is not a particularly complex app. It's basic CRUD app with some specialized requirements. Still, getting it all right, including auth and data handling, really mattered. After the initial drafting phase, I went through the entire app and made a list of tasks for improvement/change in the codebase. This TODO.md became the new starting point for model context in plan creation. Unexpectedly, as items were addressed in the document, the model updated the file with checkmarks and details of implementations. This was not an instruction I gave the model, but it was behavior I liked, since it created a trail of accountability. After all the features I wanted were functional, context was cleared entirely and new instructions were provided to the model. Instead of acting as a software developer, I instructed the model to perform as a security auditor and secure code expert, finding vulnerabilities in the code and recommending remediations. The findings would be written to a FINDINGS.md file, keeping with our established "Plan, Document, Execute, Log" pattern established in earlier rounds.

In fact, almost all the hands-on-keyboard time for myself in this project was in Markdown syntax. I love me some Markdown, but it didn't feel great writing for a model as an audience instead of human beings.

If it works, I'll have my certificate solution, I thought. If it doesn't, at least I'll know more about the technology and its implications. Well, spoiler alert: it works. It's even, near as I can tell, reasonably secure. But good lord, building this way was miserable, even if it was faster than coding it all myself.

So on the one hand, I have to understand genAI coding tools for work. On the other, here's this missing feature I need implemented to complete the TTI migration. I decided to test development using Claude Code for this project.

Do I think LinkedIn is the digital River Styx, where damned souls clamber over each other and claw at the boat passing overhead in the dim hope of salvation from those who have escaped the shambling horde? I do. But if we're all in hell together, we might as well try to lift each other up.

Let's get this out of the way: my feelings about using generative models at all are...fraught. And if you are ready to call me a monster or a hypocrite right now, I understand. I'm navigating some tensions about this and I fully own that I may have made the wrong choices here.

Article de vulgarisation scientifique cherchant à savoir si les jeux vidéos favorisent-ils des comportements violents ?

dans le temps .

observée

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violent

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identité déclarative

L’enjeu n’est plus seulement de comprendre comment nous nous montrons en ligne, mais de décider collectivement du rapport que nous voulons entretenir avec des images qui peuvent désormais, exister sans nous.

Ils influencent la manière dont on se montre en ligne. Autrement dit, ils ne se contentent pas d’héberger nos images, mais orientent nos pratiques en mettant en avant certains contenus plutôt que d’autres.

Les travaux de Charlotte Blanc expriment bien cette pensée

Plus une image correspond à ces standards, plus elle a de chances d’être mise en avant par les algorithmes.

Beaucoup expriment une anxiété sociale à l’idée de se montrer sans retouche, comme si leur visage « réel » risquait d’être perçu comme insuffisant. Ce contrôle de l’image déborde alors dans le quotidien : certaines personnes adaptent leur maquillage, cherchant à redessiner leurs traits comme en ligne

Les filtres inspirent des demandes de chirurgie esthétique. Les individus souhaitent ressembler à leur avatar numérique. On observe alors un véritable effet de boucle : en filtrant son visage pour se conformer aux normes esthétiques, on s’habitue progressivement à cette version modifiée. On finit par vouloir la reproduire dans la vie réelle, ce qui contribue à renforcer collectivement les standards qui l’ont influencé au départ. Ce processus contribue à une perte de singularité.

contribue

Visage avec et sans filtre

les individus peine à accepter

ce qui contribuent

certaines apparences sont valorisées, d’autres marginalisées ou invisibilisées.

Selon Fanny Georges

ils constituent des accessoires qui permettent d’optimiser notre physique.

Retoucher son visage n’a jamais été aussi simple : un glissement de doigt et lisser, s’affiner devient un véritable jeu d’enfant ! Mais derrière cette habitude se cache une transformation profonde de notre identité.

Les réseaux sociaux ne sont plus seulement des espaces d’expression : ils sont devenus des laboratoires où l’on fabrique son apparence.

Filtres, retouches et perception de soi : une identité numérique déformée ? L’identité numérique filtrée : une extension ou une déformation de soi ?

Filtres, Identité numérique

Such environments may give players the disorientingand somewhat anaesthetizing sense that this could be anywhere or nowhereat all, conveniently overlooking ecological concerns with the finite charac-ter of the natural world and entropic limitations on energy and throughput,or carrying capacity (chapter 4). In an era of widespread anxiety over climatechange, increasingly scarce fuel reserves, and population control, it shouldcome as no surprise that an especially popular recourse is the abstract, ever-receding pastoral ideal that Raymond Williams once derisively called “ababble of green fields” (in a nod to Shakespeare),10 which lurks in all themedieval and pre- or alter-industrial lands of games like Blizzard’s World ofWarcraft or Nintendo’s Legend of Zelda series, and rather explicitly in themultitudes of crop-management games like Harvest Moon (1996) and Farm-Ville. Ecological specificity and accuracy are neither necessary nor sufficientcriteria for successful commercial games, but when we measure games asinstruments of public knowledge, it suddenly becomes worthwhile to makegames that are more meaningfully local, which take seriously the goal of envi-ronmental realism—not solely in terms of visual rendering, but also in sounddesign, weather, species density and distribution, and the arrangement oforganic and inorganic actors in complex interrelation

(“Why are you playing games in here when you could be playing outside?”)seems to follow the pattern of attacks on the ecocritical project (“Why writeabout the environment when you could just go outside?”). The same flawscharacterize both avenues of questioning: not only the positing of a falselylimiting either/or but also the not altogether ridiculous supposition that theonly way to experience nature is to be exposed to the elements.

learning within shifting interactions and patterns through time.

Sitskoorn, M. (2014). IK2 De beste versie van jezelf: ontwikkel je hersenen en bereik je doelen met het EFFECT-programma. Amsterdam: Boom uitgevers. ISBN:9789462761360

Executieve functies zijn trainbaar en kunnen op elke leeftijd worden verbeterd - waarschijnlijk door veel verschillende benaderingen. Het is niet altijd gunstig om executieve functies bewust uit te oefenen. Soms denk je na over wat je doet en probeer je top-down controle uit te oefenen, maar dat blokkeert juist optimale prestaties.

De executieve functies gaan over het kiezen van de activiteiten en het uitvoeren van deze taken. Het gaat er hierbij om op welke taak je je aandacht richt en hoe je deze (cognitieve) taak vervolgens uitvoert.

Jelle Jolles onderscheidt in Het tienerbrein. Over de adolescent tussen biologie en omgeving de volgende executieve functies: Filteren Organiseren van aandacht Impulsremming Nieuwsgierigheid en initiatief nemen Werkgeheugen Doelgerichtheid Gedrags-, motorische en cognitieve flexibiliteit Planmatig handelen Kiezen en beslissen Zelfinzicht Zelfregulatie Metacognitie Monitoring Empathie en perspectiefname Motivatie

Margriet Sitskoorn onderscheidt in De beste versie van jezelf twaalf executieve functies:  Aandacht richten, vasthouden, verdelen Emoties reguleren (incl. omgaan met stress) Flexibel kunnen zijn als dingen veranderen Ongewenst gedrag kunnen onderdrukken Taken en zaken starten Dingen organiseren Dingen kunnen plannen Jezelf kunnen monitoren Je werkgeheugen gebruiken Een reëel zelfbeeld vormen Het vermogen tot theory of mind Prosociaal gedrag (het belang van anderen voor ogen houden)

Zo onderscheiden Peg Dawson en Richard Guare in hun boek Slim maar… help kinderen hun talenten benutten door hun executieve functies te versterken elf soorten executieve functies: Respons-inhibitie: nadenken voordat je iets doet. Werkgeheugen. Emotieregulatie. Volgehouden aandacht. Taakinitiatie. Planning/prioritering. Organisatie. Timemanagement: tijd inschatten, verdelen en deadlines halen. Doelgericht gedrag. Flexibiliteit: flexibel omgaan met veranderingen en tegenslag. Metacognitie: een stapje terug doen om jezelf en de situatie te overzien en te evalueren

Er zijn vijf soorten situaties waarin executieve functies vereist zijn om tot een optimale prestatie te komen (Norman & Shallice, 1986): Situaties waarbij planning en besluitvorming vereist is. Situaties waarbij bijsturing en foutencorrectie van gedrag nodig is. Nieuwe vormen van gedrag of nieuwe opeenvolgingen van handelingen. Gevaarlijke of technisch moeilijke situaties. Situaties waarbij ingeroest gedrag of gewoontes moeten worden doorbroken.

/💻/asus/🧊/me/📓/2026/03/18/faceted.search.hypothesis/=/symmathesy

Eerste versie deze zomer Voor nu is Euro-Office vooral een belofte met een technische preview. De eerste stabiele release wordt komende zomer verwacht.

Euro-Office begeeft zich bovendien in een veld waar al meer initiatieven actief zijn. Zo bestaat bijvoorbeeld al langer openDesk van het Duitse ZenDiS, waarin Nextcloud en Collabora al een rol spelen. Ook partijen als Proton of Infomaniak (Zwitserland) bieden soortgelijke online oplossingen aan. Nextcloud en Ionos willen zich onderscheiden met nauwere integratie tussen de verschillende onderdelen en met extra functionaliteit, waaronder AI-functies. Of dat voldoende is, zal afhangen van uitvoering. Europa kent inmiddels meerdere projecten die digitale soevereiniteit beloven, maar uiteindelijk moeten die ook schaalbaar, beheersbaar en gebruiksvriendelijk blijken. Juist daar zit voor veel organisaties het verschil tussen een interessant proefproject en een serieuze vervanger van Microsoft 365.

Eerder schreven we al over office.eu, een apart initiatief dat eveneens een volledig Europese office-suite wil aanbieden op basis van Nextcloud-technologie. Dat platform mikt op een geïntegreerde omgeving voor documenten, communicatie en opslag. Ook daar worden Europese hosting, soevereiniteit en het vermijden van afhankelijkheid van Amerikaanse hyperscalers genoemd. Ondanks de mogelijke naamsverwarring zijn dit twee verschillende initiatieven. Een van de verschil;en is dat office.eu zich profileert als kant-en-klaar SaaS-platform voor digitale samenwerking, terwijl Euro-Office meer wordt gepresenteerd als opensource bouwsteen en ecosysteemproject. De gemene deler is wel duidelijk: Nextcloud groeit uit tot een belangrijk fundament onder Europese alternatieven voor Microsoft 365 en Google Workspace.

Everything after the code is "done"I put "done" in quotes because in most orgs, code being written is maybe 20% of the journey. The other 80% is your code sitting in various queues, slowly ageing, like a forgotten sandwich in the office fridge.

When you optimise a step that is not the bottleneck, you don't get a faster system. You get a more broken one.

In 1984, Eli Goldratt wrote The Goal, a novel about manufacturing that has no business being as relevant to software as it is. It's also the most useful business book you'll ever read that's technically fiction, which is almost the exact opposite of most KPI frameworks.The core idea is the Theory of Constraints, and it goes like this:Every system has exactly one constraint. One bottleneck. The throughput of your entire system is determined by the throughput of that bottleneck. Nothing else matters until you fix the bottleneck.

les effets immédiats sont difficilement perceptibles – ce qui s’avère être un défi pédagogique tout comme une impulsion vers la théorisation de la matière

plaidée par

coloniaux

réactualisation,

afin d’y détourner des espaces

effriter cette injustice

académiqu

académique

n’existent

la récolte issue de la semence noire laissée par les bœufs qui, avec la charrue blanche, labourent le pré blanc, e

l’enseignement doit convaincre de sa pertinence

académicien

♒ Aquarius

2026-02-19 Thu