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Record W4401756868 · doi:10.7202/1113028ar

Proposition d’un modèle logique du volet primaire du curriculum Montessori incluant les facteurs contextuels influant sur sa mise en oeuvre

2023· article· fr· W4401756868 on OpenAlexaffvenue
Joëlle Gaudreau, Christine Brabant

Bibliographic record

VenueRevue des sciences de l éducation · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation Methods and Practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsModHumanitiesMathematicsPhilosophyCombinatorics

Abstract

fetched live from OpenAlex

L’engouement contemporain pour l’approche éducative instaurée par Maria Montessori est indéniable dans les réseaux professionnels et au sein de la communauté scientifique à travers le monde. Le corpus scientifique relatif aux effets de cette approche sur les apprenant⋅e⋅s est prometteur, mais encore exploratoire, sa principale limite méthodologique étant le manque d’évaluation de la fidélité de son implantation dans les milieux scolaires desquels sont tirés les échantillons. Pour contribuer à remédier à ce problème, cette étude propose un modèle logique du volet primaire (6 à 12 ans) du curriculum Montessori incluant les facteurs contextuels influant sur sa mise en oeuvre.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0060.005
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0250.002

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 head0.305
GPT teacher head0.436
Teacher spread0.132 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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