MétaCan
Menu
Back to cohort
Record W159035256 · doi:10.4000/ries.3848

Savoir, curricula et méthodes pédagogiques : le cas de l’Inde

2014· article· fr· W159035256 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

VenueRevue internationale d éducation de Sèvres · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Theory and Curriculum Studies
Canadian institutionsMinistry of Labour, Employment and Social Solidarity
Fundersnot available
KeywordsHumanitiesPhilosophyPhysics

Abstract

fetched live from OpenAlex

Dans ce court article, je brosse un bref panorama de ce que je considre comme les phases majeures du curriculum et de l'enseignement indiens, de la priode prcdant l'indpendance jusqu' l'poque actuelle. Il s'agit l d'une esquisse rapide d'un pays complexe, l'histoire complexe. Je n'ai pas dvelopp l'ide du rgionalisme, pas plus que je n'ai explor la question des peuples tribaux d'Inde, qui prsentent pourtant une srie de problmes et de questions dignes d'attention. Je n'ai pas non plus trait de la formation des enseignants. J'ai cherch en revanche prsenter un point de vue plus national . En matire ducative, j'ai essay de dfinir les ides cls -en termes de curriculum et de pdagogie -qui ont domin chaque priode. Loin de supplanter l'tape prcdente, chaque nouvelle phase s'ajoute la prcdente, ce qui fait que de multiples ides peuvent coexister et tre lgitimes un moment donn.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.094
GPT teacher head0.403
Teacher spread0.309 · 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