MétaCan
Menu
Back to cohort
Record W2243920182 · doi:10.18162/ritpu.2006.106

Progression micrograduée dans l’entraînement à la vision dans l’espace et à la description anatomique

2006· article· fr· W2243920182 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevue internationale des technologies en pédagogie universitaire · 2006
Typearticle
Languagefr
FieldDecision Sciences
TopicEducation, Management, Technology, Human Resources
Canadian institutionsnot available
Fundersnot available
KeywordsArtPsychology

Abstract

fetched live from OpenAlex

Le cours d'introduction l'anatomie en Facult de mdecine, ULg, Belgique intgre une formation distance et un cours prsentiel. Un module introductif a t dvelopp en EAD pour fournir une mthode progressive d'entranement la vision dans l'espace et la description anatomique, sur la base des concepts prrequis indispensables la comprhension des autres modules. Ces concepts identifis ont t dissqus puis organiss pour permettre la gnralisation et ensuite le transfert, et pour que tous les tudiants puissent raliser loisir les exercices, passant par toutes les tapes des raisonnements suivant leur rythme personnel. Ce module a t rgul aprs deux annes d'utilisation en situation relle. Cet article met l'accent sur les principes mthodologiques qui fondent la structure microgradue du cours distance.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0010.002
Open science0.0030.002
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 head0.039
GPT teacher head0.353
Teacher spread0.314 · 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