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Record W7129054960 · doi:10.5281/zenodo.18658705

Les étudiants en classes préparatoires aux grandes écoles - Rentrée 2011

2012· article· W7129054960 on OpenAlexaboutno aff
Gaëlle Gateaud

Bibliographic record

VenueOpen MIND · 2012
Typearticle
Language
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ScholarshipPeriod (music)Work (physics)Social impact

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0640.004

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.

Opus teacher head0.118
GPT teacher head0.424
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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