Bibliographic record
Abstract
Résumé À l’appui d’enquêtes de psychodynamique du travail réalisées en 2006 auprès de salariés en production porcine industrielle au Québec, cet article montre comment la destruction économique d’animaux est vécue comme un « sale boulot » qui va à l’encontre du sens moral que ceux-ci donnent à leur relation de travail aux animaux. Élever, c’est contribuer à la vie des animaux en essayant de les sauver de la maladie et de la mort. C’est aussi avoir le courage d’assumer la responsabilité morale de la mise à mort des bêtes atteintes d’un mal incurable, afin de leur éviter des souffrances inutiles. Pour endurer ce travail de mort, les salariés déploient des stratégies collectives de défense. Cependant, l’adoption de conduites fondées sur un courage viril stigmatise les difficultés de ceux et celles qui ne parviennent pas à détruire des animaux, tandis que ces conduites sont elles-mêmes fragilisées par un turn over important.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".