Savoir retenu et savoir manquant. Quelques enjeux de la narration omnisciente dans le récit contemporain
Bibliographic record
Abstract
Au nombre des caractristiques de la production narrative contemporaine (plus exactement celle des deux dernires dcennies), le recours marqu aux formes de l'intime et, plus largement, la prise en charge du rcit par une parole subjective, celle d'un ou de multiples je, sont frquemment signals par la critique 1 . Par ses hsitations mmes, par ses glissements et manifestations polyphoniques, la voix narrative se fait ainsi envahissante. Plus discrte, la narration omnisciente (entendons ici, provisoirement, un narrateur htrodigtique, non reprsent, focalisation zro, pour reprendre la terminologie de Genette) occupe toujours une partie du territoire narratif rcent, soucieux d'invention formelle. C'est cette catgorie de textes, la voix narrative tnue, que veut aborder notre tude.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".