Bibliographic record
Abstract
Douze femmes, auteures du monde noir, evoquent le plaisir feminin. Comment s’ecrivent aujourd’hui le corps, la sensualite, la sexualite? « Volcaniques : une anthologie du plaisir est un ensemble riche. Les nouvelles devoilent des figures feminines et des environnements varies. Les âges de la femme y sont egalement divers, ce qui est heureux. Certains textes ebranleront par leur puissance poetique et / ou erotique. D’autres seduiront par le ton, le phrase, l’humour ou par une capacite analytique qui a su ne pas prendre l’ascendant sur la narration. Bien des femmes se reconnaitront dans ces pages, d’ou qu’elles soient. Quant aux hommes, ils trouveront peut-etre la cle du grand mystere que semble etre, pour certains, le plaisir feminin. » Leonora Miano « Des nouvelles magnifiques… une jubilation qui fait plaisir a lire » Caroline Allard, Radio-Canada « Avec le theme du volcan, on s’attend a l’explosion… A lire! » Marie-Louise Arsenault, Radio-Canada Collaboratrices : Hemley Boum, Nafissatou Dia, Diouf, Marie Do, Nathalie Etoke, Gilda Gonfier, Axelle, Jah Njike, Fabienne Kanor, Gael Octavia, Gisele Pineau, Silex, Elizabeth Tchoungui, Leonora Miano.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".