«Différ <i>a</i> nt des Autres», Espacements et Temporalités Spectrales
Bibliographic record
Abstract
ABSTRACT That night that he agreed to our suggestion that we accompany him outside, for the whole night or until the overflow has passed, M seemed to be in direct contact with all the layers of astronomy, inhabiting all temporalities simultaneously. Outside, lying/sitting on the picnic table, in the pitch‐black darkness of the night in the woods, under a few stars, he explained to us why we are still, always, in the Big Bang. He made noises of speed, gestured with his arms; his face was tender and laughing. He wanted us to understand; he used all his senses, smoking cigarette after cigarette. The picnic table we're sitting on was made in a “mental health” day center by the same people who made the bench that I sometimes hang around, inscribed: “Différ a nt des autres”, which translate as “Differ a nt from the others.” I don't believe, though I'm not certain, that the person who wrote it did so with reference to Derridean différance . But that's the idea that immediately struck me, like a door opening onto the possibilities that haunt the bench, those who made it, those who will sit on it, those who will ignore it, those who do ignore it. This sentence on a bench, which makes an unintentional reference to philosophy, suddenly reveals: power relations, diffractions, gaps, injustices, poetry, beauty, and the unalterable impossibility of sameness. Taking the form of a fragmented narrative, this article proposes an investigation into the atmospheres surrounding lived experiences with people who are said to “live with mental health disorders”, proceeding through literary‐terrestrial back‐and‐forths between their breath and the rigidity of our capacity to receive them.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".