Les étudiants en classes préparatoires aux grandes écoles - Rentrée 2011
Bibliographic record
Abstract
English:At the start of the 2011-12 academic year, 79,800 students were enrolled in classes preparing for admission to Grandes Écoles (Classes préparatoires aux grandes écoles - CPGE), 0.7% more than in the previous year. Numbers were up for all three study tracks: scientific (+0.2%), economics and social sciences (+0.6%) and arts and humanities (+3.1%). The CPGE recruit mainly students with a general baccalauréat (95%). However, there are more and more students with a technological baccalauréat and their share has increased since 2001, especially in the economics track, where they represent 10% of newly enrolled students. The proportion of women has increased slightly since 2001, but gender equality has still not be achieved (42%). However, the proportion of women differs between study tracks: fewer than one third of students in science are women, whereas women represent 74% of students in the humanities. 50% in CPGE are from a very privileged background and a little over a quarter are scholarship students.Français:À la rentrée 2011, 79 800 étudiants sont inscrits en classes préparatoires aux grandes écoles (CPGE), effectif en hausse de 0,7 % par rapport à l'année précédente. Les effectifs augmentent dans les trois filières : scientifique (+ 0,2 %), économique et commerciale (+ 0,6 %) et littéraire (+ 3,1 %) . Les CPGE recrutent majoritairement des bacheliers généraux (95 %). Les bacheliers technologiques sont de plus en plus nombreux et leur part augmente depuis 2001, en particulier dans la filière économique où ils représentent 10 % des bacheliers nouvellement inscrits. La part des femmes croît légèrement depuis 2001, mais la parité n'est toujours pas atteinte (42 %). Cependant, la part des femmes est différente selon la filière : moins d'un tiers des étudiants en formation scientifique sont des femmes, alors qu'elles sont 74 % en lettres. 50 % des préparationnaires sont issus d'un milieu très favorisé et un peu plus d'un quart sont boursiers.
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.
How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.064 | 0.004 |
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; both teacher heads agree on what is shown here.
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".