Les conditions favorables à la réussite d’un stage selon les stagiaires en formation au Brésil
Bibliographic record
Abstract
Les conditions favorables à la réussite d'un stage selon les stagiaires en formation au Brésil Formation et profession 29(3) 2021 • 1 ésumé À partir du contexte brésilien des stages supervisés, la présente recherche analyse comment l' école, le superviseur et l' enseignant associé promeuvent des expériences de stage réussies.Dans cette recherche qualitative, vingt-trois stagiaires d'une université publique ont répondu à un questionnaire concernant leurs expériences de stage.Les résultats montrent que les expériences réussies sont celles où les stagiaires se sentent sûrs, bien accueillis et encouragés, ce qui démontre la nécessité de perfectionner les compétences des agents de formation et de valoriser les conditions déjà existantes.L'articulation entre l'université et l' école est l'un des défis les plus importants dans le domaine des stages.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.003 |
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".