MétaCan
Menu
Back to cohort
Record W2908812500 · doi:10.4000/rdst.1980

Quelle prise en compte du concept de biodiversité dans les programmes français de sciences et technologie et de sciences de la vie et de la Terre ?

2018· article· fr· W2908812500 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRDST · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPhilosophySociology

Abstract

fetched live from OpenAlex

La biodiversité fait l’objet de nombreux travaux scientifiques, mais est un concept complexe dont il n’est pas possible de donner une définition simple. Cet article réalise une analyse lexicométrique de ce concept au sein des programmes de sciences et technologie (cycle 3, 9 à 11 ans) et de sciences de la vie et de la Terre (SVT) (pour le cycle 4, 12 à 14 ans et le lycée, 15 à 17 ans) français. Les résultats obtenus montrent trois grands ensembles de connaissances. Un ensemble de connaissances qui s’articule autour d’une vision descriptive et évolutive de la biodiversité, un autre qui considère l’agriculture comme une pratique en concurrence avec la diversité naturelle et un troisième qui aborde la protection de la biodiversité vue comme une ressource exploitable par l’homme. Cette analyse met en évidence que les programmes tendent à séparer les aspects scientifiques et environnementaux du concept de biodiversité.

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 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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.029
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.334
Teacher spread0.294 · 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