Allaire, S. et Deschenaux, F. (dir). (2022). Récits de professeurs d’université à mi-carrière. Si c’était à refaire… Presses de l’Université du Québec
Bibliographic record
Abstract
Publi dans la collection Enseignement suprieur des Presses de l'Universit du Qubec, l' ouvrage collectif Rcits de professeurs d'universit mi-carrire. Si c'tait refaire... (Allaire et Deschenaux, 2022) s'adresse principalement aux doctorants qui visent une carrire universitaire et aux professeurs en dbut de carrire. Cela dit, il pourra aussi intresser les professeurs plus expriments ainsi que tous ceux qui sont curieux d' en savoir plus sur les coulisses de la carrire professorale. Par l'approche du rcit de pratique (Desgagns, 2005), une vingtaine de professeurs de diffrents horizons y racontent des lments marquants de leur parcours professionnel. La prsente proposera d'abord un rsum de l' ouvrage, puis elle tentera d' exposer sa contribution pertinente et originale au regard des autres crits abordant la carrire de professeur universitaire.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.039 | 0.024 |
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".