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Record W4210641050 · doi:10.51657/ric.v5i2.51375

Intervenir autrement dans les milieux éducatifs : repenser les assises épistémologiques du développement de l'enfant

2022· article· fr· W4210641050 on OpenAlexaffvenue
David Auclair

Bibliographic record

VenueRevue internationale du CRIRES innover dans la tradition de Vygotsky · 2022
Typearticle
Languagefr
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology

Abstract

fetched live from OpenAlex

During the 1920s-30s, Lev. S. Vygotskij (1896-1934) is interested by the semiotic mediations of mental life in order to study the development of the psychic, emotional and physical functions of the child. Straddling pedology and defectology, passionate about art, philosophy and literature, he judiciously separates mental age from school age, but also clinical knowledge from educational realities. Still topical, although still under construction during his lifetime, the vygotskian educational project insists on the dialectical character of development. If the organicist current can claim that the "little man always learns better the facts that he discovers rather than the principles that are imposed on him" (Piaget, 1997), it is quite different for those who advocate the vygotskian cultural-historical approach. In this article, we show that interventions and learning vary historically according to epistemological orientations, contexts, but also the methods recommended to regularize and to "perform" in historically constructed frameworks (signifiers). At school and in families, it is impossible to escape the obligation to favor experiences based on cultural mediations, both linguistic and historical. Like Vygotskij, we believe that the “significant actors” must privilege the pedagogical diagnosis with the help of skillfully orchestrated interventions around the near development zone (ZDP).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.000

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 head0.063
GPT teacher head0.355
Teacher spread0.292 · 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 teacher head, not a consensus.

Study designObservational
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".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueRevue internationale du CRIRES innover dans la tradition de VygotskySame topicEducational and Psychological AssessmentsFrench-language works237,207