DOI: 10.1080/03057267.2010.504543 Authors:
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Supérieure de Cachan (Paris, France), before passing the “Agrégation ” in physics, a highlevel competitive exam for recruitment of teachers and finally completed her master’s degree in science education at the Ecole Normale Supérieure de Cachan. Her current work, supervised by Virginie Albe, professor in physics education, Joël Chevrier, professor in physics, and Annie Luciani, computer science engineer, deals with nanosciences and nanotechnologies education. Virginie Albe is professor in physics education at the Ecole Normale Supérieure de Cachan (Paris, France). After completing a PhD in condensed matter physics at the University of Montpellier, France, she became involved in science education research during her postdoctoral studies at Montréal University, Canada. She is currently director of the master course
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.265 | 0.098 |
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 it