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Sarah

@roguesarahjane.bsky.social

Mostly a doggo mom with Connie. Just a queer lady. Kind of like graphic novels…

102 Posts306 Follower785 Folgt
Mark@maetl.bsky.social · 4w ago

We have been discussing the first two points a lot in our dept this week. We teach hands-on exploration, embodied cognition, thinking through making, so this forfeit and refusal of friction and process is hugely damaging to learning. I do think NZ academics in general are avoiding point 3 though.

Olivia Guest · Ολίβια Γκεστ@olivia.science · last mo.

We analyse this through 1️⃣ the cognitive: what is forfeit when statistical pattern-matching substitutes our thinking 2️⃣ the pedagogical: AI literacy as currently deployed is a symptom 3️⃣ the political: AI's infrastructure inherently naturalizes labor displacement pdf: zenodo.org/records/2122... 5/

Sarah Klein@saklein.bsky.social · 2mo ago

Seriously this is so good, and one of a few recent academic pieces that actually offers me hope

Olivia Guest · Ολίβια Γκεστ@olivia.science · 2mo ago

I wrote a very short piece on models & modelling in part because we need to protect our scientific praxis damage caused by AI in terms of addictive frictionless thinking, esp since it harms society broadly too. "Models" doi.org/10.5281/zeno... Thanks @carvalhais.org for inviting me to write this.

Models in cognitive and related sciences are part of an overarching methodology, computational or broadly formal modelling, that aims to test, refine, and showcase our understandings of brain, cognition, and behaviour.1 In their foundational book Models as Mediators, Mary S. Morgan and Margaret Morrison (1999)2 make the case that models play a mediatory role in science between what we observe and what we want to build to house our understandings, theories. Under this conception of models, known as the pragmatic view,3 we can carve out not only their unique role, but also why and how they must be protected from forces that do not prize understanding. Taking a broad perspective that sees all human activity that strives towards understanding as scientific or as under our purview as modellers, allows for this characterisation of models as mediators to be more generally fruitful.4 In the context of human-centred design, for example, our theories may be anything from our understanding of users’ behaviours in a specific context to our understanding of what a user expects from a product or system a priori. Importantly, scientific modelling is apart from other scientific praxis, such as concocting a verbal or formal theory or designing and running experiments.5 Models, as described by Morrison and Morgan,6 have the following characteristics: a. construction — models are neither directly derived from theory nor from data, but through an effortful friction between the modeller and the medium (e.g. their favourite programming language, mathematics, natural language) through which they are building their model;7
Places Journal@placesjournal.bsky.social · 9mo ago

Amid a war on public knowledge, libraries are pushing outward, enlarging the commons through new configurations of civic and creative life. In her latest — and, yes, 34th! — article for Places, @shannonmattern.bsky.social writes about building the infrastructure we need to keep ourselves free.

Extralibrary Loan: Making the Civic Infrastructure We Need

Amid a war on public knowledge, libraries are pushing outward, enlarging the commons through new configurations of civic and creative life.

placesjournal.org

Shannon Mattern@shannonmattern.bsky.social · 9mo ago

@jwlrt.bsky.social reminded me that this is the *34th* piece I’ve published with @placesjournal.bsky.social since 2012! Best publishing experience of my career! 🙏