L’entretien de recherche : un révélateur du vécu des liens travail/formation pour des stagiaires en alternance et ses effets sur leur développement professionnel
Bibliographic record
Abstract
The interview is a privileged methodological research tool. We applied it in the context of our doctoral work to shed light on the temporalities in the construction of the professional identity of trainee teachers. If the research interview has a heuristic aim for the researcher, what impact does it have on the interviewee? The discourse produced during the interviews enabled us to gain access to the experiences of the work-study students in the process of professionalization and shed light on the way in which they articulated work and training. Because our results indicate that the exchanges also brought out the meaning of certain situations for the trainees, we hypothesise that the research interview thus contributed to their professional development.
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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 | 0.131 | 0.220 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.041 |
| Scholarly communication | 0.018 | 0.020 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".