La démocratie postcoloniale, la parrêsia subalterne et le grotesque : rires de femmes
Bibliographic record
Abstract
L’auteure se penche sur un nouveau mode humoristique, apparu au cours des années 2000. Après une présentation de la société postcoloniale française et la « dispute du voile », l’auteure distingue, dans la première partie, le minoritaire du subalterne afin de suggérer l’importance d’une étude de l’humour des femmes subalternes comme revendication démocratique. Dans la deuxième partie, elle analyse deux spectacles d’humoristes femmes, Rachida Khalil et Nouara Naghouche, à l’aide de la notion antique de parrêsia , qui signifie « franc-parler ». Dans la troisième et dernière partie, elle revient sur les mutations du grotesque colonial en grotesque postcolonial, pour montrer que la parrêsia subalterne ne prétend pas dire la vérité, mais raconter les histoires « moins fausses » des subalternes et leur résistance par le rire.
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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 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".