Psycho-sociologie de l’actualisation de soi : quelques problèmes de validation
Bibliographic record
Abstract
La plupart des techniques de cueillette des données relatives au processus d'actualisation de soi ne tiennent pas compte du fait que l'expérience individuelle est faite en situation. Ces techniques supposent alors la généralité des attitudes, des perceptions et des conduites plutôt que leur spécificité. Les auteurs discutent ici de ce problème en suivant deux démarches. Ils comparent d'abord des instruments qui ne font pas référence à ces situations, à d'autres instruments qui, eux, y font explicitement référence. Ils confirment ensuite l'utilité de ce dernier type d'instruments en vérifiant s'ils permettent une discrimination statistique entre des groupes sociologiquement différents. À titre d'illustration, ils introduisent finalement quelques remarques touchant à l'application au contexte québécois du concept de " sous-culture adolescente ".
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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 | 0.260 | 0.563 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| 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".