Bibliographic record
Abstract
RItsUMItLes cas de mauvais traitements en 6tablissement comportent un pr6judice personnel A la fois sur le plan psychologique et sur le plan physique.La violence physique et la violence sexuelle ont une incidence sur le sens qu'a une personne d'elle-meme, sur son sens d'int6grit6 et sur son sens de capacit6 ou de pouvoir d'exister comme une personne distincte de l'agresseur.En plus des autres d6fis qu'elles posent, les demandes fond6es sur des mauvais traitements sont difficiles A examiner dans le cadre d'un processus judiciaire ou non judiciaire, car toute tentative d'6tudier les pr6judices de base qui r6sultent du mauvais traitement doit essayer de r6pondre A la nature tr~s personnelle des pr6judices caus6s par les mauvais traitements et qui ne se traduisent pas facilement en une valeur mon6taire.... is power always in a subordinate position relative to the economy?Is it always in the service of, and ultimately answerable to, the economy?Is its essential end and purpose to serve the economy?Is it destined to realise, consolidate, maintain and reproduce the relations appropriate to the economy and essential to its functioning?... is power modelled upon the economy?'
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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".