Aimer ses cheveux, s’aimer : une proposition radicale de Josépha Labbé. Femmes afro-caribéennes et esthétique capillaire dans le Paris des années 70
Bibliographic record
Abstract
L’auteure propose une analyse critique de la démarche de la Martiniquaise Josépha Labbé-Jouffret dans le Paris des années 70, soulignant le caractère radical de son approche auprès des femmes antillaises d’alors. En proposant aux femmes de tout simplement aimer leur chevelure et de la porter naturelle, Josépha Labbé-Jouffret leur offrait une plateforme politique, visant à entamer une libération du poids du passé esclavagiste. Sa méthode s’ancrait dans l’humus antillais, et la pensée théorique de l’auteure s’appuie sur deux aphorismes : Tout Moun Sé Moun et Sé Dèyè Pawol Ki Ni Pawol. En effet, la mission de Josépha Labbé-Jouffret consistait à rétablir ses clientes dans leur dignité de moun par une démarche souple qui les accompagnait dans leur évolution.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.025 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".