Bélisle and Fernandez's "Rôle des pratiques en reconnaissance des acquis et des compétences dans la persévérance et la réussite scolaires d’adultes sans diplôme qualifiant" ("Role of prior learning and skills recognition in the retention and success of adult students with no qualifying diploma")
Bibliographic record
Abstract
Role des pratiques en reconnaissance des acquis et des competences dans la perseverance et la reussite scolaires d’adultes sans diplome qualifiant ( Role of prior learning and skills recognition in the retention and success of adult students with no qualifying diploma ) is a 2017 publication of Fonds de recherche du Quebec – Societe et culture (FRQSC) that reports the status of the recognition of acquired competencies (RAC) in Quebec (Canada). Its principal researcher, Rachel Belisle, Universite de Shebrooke, focuses on the importance of Quebec to make a major shift to improve the information and research efforts in this area [in order to] support the retention and success of adult students. ... While the abstract of this document is in both English and French, the body of the essay is in French. We have chosen to include it in PLAIO to provide access to this important update from Canada. Reference Belisle, R., & Fernandez, N. (2017). Role des pratiques en reconnaissance des acquis et des competences dans la perseverance et la reussite scolaires d’adultes sans diplome qualifiant . Retrieved from http://www.frqsc.gouv.qc.ca/en/partenariat/nos-resultats-de-recherche/histoire/role-of-prior-learning-and-skills-recognition-in-the-retention-and-success-of-adult-students-with-no-qualifying-diploma-73hah3wc1515771307997
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".