Bibliographic record
Abstract
En Bolivie, les femmes rient beaucoup dans les maisons closes. Elles sont les maîtresses d’un humour particulier, fondamentalement obscène, qu’elles exercent à tout bout de champ sans jamais sembler s’en lasser. Sa récurrence, sa codification et sa pratique collective l’érigent en véritable art corporatif dont l’apprentissage accompagne celui de la prostitution. Déployé entre femmes, le rire construit l’entre-soi et reformule, en la dédramatisant, la transgression et le personnage de la prostituée. Cruel quand il s’adresse aux clients, le rire ébranle le pouvoir de l’argent et les aspirations triomphalistes de la sexualité des hommes. Basé sur une ethnographie menée dans les établissements populaires de la ville andine de Potosi, cet article porte sur le fonctionnement de cet humour particulier dans la construction de l’expérience de la prostitution et de ses rapports sociaux. Il réinterroge le rôle du rire comme mode de résistance à ‒ mais aussi de conservation de ‒ la domination. Il renvoie également l’ethnologue à son impossible neutralité : en choisissant d’en rire ou non, celui-ci ou celle-ci énonce forcément son camp.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".