Bibliographic record
Abstract
La premire et la plus vidente des images de Maurice Tardif aux yeux d'un universitaire et d'un chercheur franais, est la place qu'il a tenue dans le domaine de la sociologie de l' ducation. Au cours des trente dernires annes, Maurice Tardif a construit une oeuvre connue et reconnue au Canada, mais aussi en Europe et en Amrique Latine. Il a publi de nombreux livres, souvent traduits, et de trs nombreux articles dans des revues de premier plan. C' est aussi un animateur scientifique comme en tmoigne la diversit de ses collaborations scientifiques, la continuit de ses recherches, son engagement dans l'animation de la recherche et la formation des jeunes chercheurs. Laurat de nombreux prix, et ceci depuis qu'il tait tudiant, Maurice Tardif n'a jamais cess d' enseigner, de former des quipes, de prendre des responsabilits dont celles du Centre de Recherche Interuniversitaire sur la Formation et la Profession Enseignante qui bnficie aujourd'hui d'une rputation internationale, de participer la vie des revues et des ides. Il suffit de regarder le nombre et la diversit des invitations de Maurice Tardif dans les universits et les centres de recherche pour comprendre l'admiration que je peux avoir pour son travail.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 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".