Polygraphies du corps dans le roman de femme contemporain, numéro préparé par Andrea Oberhuber
Bibliographic record
Abstract
Oberhuber Eva Feole NOTIZIAPolygraphies du corps dans le roman de femme contemporain, numéro préparé par Andrea OBERHUBER, «Tangence» n. 103, 2013, pp.145. 1Costituito da sette articoli di studiose provenienti da Québec, Francia e Belgio e coordinato da A. Oberhuber, il dossier ruota intorno a quelle che il titolo stesso definisce, con le parole di Roland Barthes, «polygraphies du corps».Il volume si propone infatti di studiare in che modo e per mezzo di quali strategie narrative, alcune scrittrici e artiste di sesso femminile abbiano affrontato il tema del corpo e il suo complesso intreccio con questioni politiche e poetiche.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".