Bibliographic record
Abstract
Ce texte ego-historique est consacré au récit d’un cheminement professionnel et personnel vécu lors d’une campagne de recrutement à l’Université. Ce travail développe une écriture originale qui vise à éclairer les circonstances et les vicissitudes d’un parcours singulier ayant orienté des choix. Dans ce texte inspiré de faits réels, à la croisée d’une réflexion ego-historique et d’une fiction littéraire, tous les noms et prénoms ont été changés. S’émancipant des codes académiques par sa forme hybride, ce travail n’en est pas moins le récit historique des tropismes d’une vie professionnelle conditionnée par l’institutionnel, le social, le culturel, mais également par des circonstances personnelles, familiales et intimes. Cette évocation d’une trajectoire humaine, perméable aux environnements divers et variés, est l’occasion de comprendre un itinéraire particulier dans le contexte spécifique de la période des recrutements des professeurs des universités.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".