Bibliographic record
Abstract
Le texte de Simmel sur la mode, qui décrit les mécanismes d’imitation et de distinction, permet d’éclairer la façon dont les bénéficiaires du relooking s’approprient et incorporent un savoir-être professionnel. L’apparence est primordiale dans l’accession aux bassins d’emplois privilégiés ; or, celle-ci suppose une maîtrise de la mode en vigueur dans les milieux économiques, notamment financiers. Le relooking vise à faire de l’appartenance sociale un choix, en donnant accès à une apparence reconnue et socialement valorisée. La mode devient un enjeu, dès lors que l’apparence est perçue comme un vecteur d’ascension sociale au même titre que les diplômes. À travers l’expérience d’une organisation caritative américaine, qui relooke des femmes en difficulté pour favoriser leur insertion professionnelle, le présent article s’intéresse à la transmission des codes corporels véhiculés via la promotion d’une mode vestimentaire.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".