Bibliographic record
Abstract
Meme si la question de la perseverance aux etudes est omnipresente dans le milieu de l'enseignement superieur, peu d'ouvrages en langue francaise y ont ete consacres. Cet ouvrage a pour objectif de combler en partie cette lacune et d'offrir l'occasion d'un premier examen general de l'etat des connaissances acquises et traduites en actions sur la reussite des etudiants dans les colleges et les universites. L'intention est aussi de rendre compte de certaines activites et demarches exemplaires d'accompagnement et de suivi des etudiants mises en place pour favoriser l'integration au milieu de l'enseignement superieur, la reussite academique, l'acces au diplome, l'integration sur le marche du travail et la poursuite des etudes.Le lecteur y retrouvera des analyses sur l'etat des connaissances ainsi que sur les pratiques et les interventions en matiere de reussite et de perseverance autant au Quebec qu'au Canada et aux Etats-Unis.Textes presentes lors de quatre seminiares de recherche organises par la Direction de la recherche institutionnelle de l'Universite du Quebec et le Centre interuniversitaire de recherche sur la science et la technologie et tenus a l'Universite du Quebec a Montreal entre le 2 novembre 2001 et le 12 avril 2002.
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 | 0.036 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.020 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| 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".