Margot Canaday, Queer Career: Sexuality and Work in Modern America (Princeton: Princeton University Press, 2023)
Bibliographic record
Abstract
reviews / comptes rendus / 335 saisir comme outil de lutte, et espérant pouvoir offrir les germes d'une praxis et non uniquement d'une théorie.Les trois dernières thèses du livre tâchent de livrer cette promesse en proposant des modèles d'organisation démocratique et populaire qui permettraient non pas de se détacher entièrement de l'algorithmique, mais de s'en saisir collectivement, de s'en approprier les bienfaits et d'en éliminer les conséquences néfastes.Les auteurs proposent pour ce faire de « réhabiliter les vertus et critiquer les vices technologiques, » (410) rappelant sans toutefois la nommer le pharmakon de la pensée du philosophe de la technique Bernard Stiegler.Cette tentative de remettre de l'avant une « éthique des vertus » laisse une impression maladroite de la part de deux experts de leur champ, mais pas de celui de l'éthiqueimpression qu'on peut toutefois aisément ignorer en saluant plutôt le choix de proposer une conclusion concrètement axée sur l'action et le vivre-ensemble politique.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".