International Commission on Physics Education (ICPE) Medal Citation [2003, Laurence Viennot]
Bibliographic record
Abstract
Laurence Viennot has a distinguished international reputation in Physics Education (Didactics of Physics). She has been invited to lecture and give courses in the USA, Canada, Argentina, Brazil, North Africa and Russia as well as in most European countries. Her work is highly reputed for its integrity, careful attention to detail and its close relationship to practice as well as for its vision and for the depth of the underlying thought. Nationally, Laurence Viennot played an important role in the formation of curriculum changes and the introduction of new courses. She was influential as a member of the Physics group of the National Committee of Programmes of the Ministry of Education, of the Commission of the French Physical Society, and as an expert for the Ministry of Research. Her insistence on basing proposals for reform on sound evidence, and on careful evaluation of the results, was central to these policy involvements. Internationally, Laurence Viennot has a very strong reputation in a wide range of countries. Her influential books have been translated into English and Spanish. Her extensive publications in international journals have reached a wide and multilingual audience.
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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 | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.019 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.016 | 0.009 |
| Insufficient payload (model declined to judge) | 0.036 | 0.034 |
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".