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Record W3157891929 · doi:10.55765/atps.i12.602

Apport des sciences de l’éducation au concept et aux pratiques de médiation culturelle

2017· article· fr· W3157891929 on OpenAlexaff
Rébéca Lemay-Perreault

Bibliographic record

VenueRevue internationale animation territoires et pratiques socioculturelles · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

Cette réflexion s’appuie sur le constat d’un déplacement du centre de gravité des musées des objets de collection vers les visiteurs. Ce passage est marqué tant par l’augmentation que la diversité des formes de la participation des publics au sein de l’institution. Le concept de médiation suggère une démarche holistique qui accueille sous sa coupole une constellation de pratiques, prenant en considération toutes les fonctions muséales et toutes les dimensions – physiologiques, affectives, ludiques et cognitives – de l’expérience muséale vécue avant, pendant et après la visite dans l’espace réel ou virtuel. Toutefois, le flou définitionnel qui caractérise la médiation culturelle en milieu muséal rend difficile son opérativité pratique. Pour cette raison, elle nécessite un support théorique permettant d’encadrer davantage les stratégies d’intervention auprès des publics. D’où la question : les approches théoriques des sciences de l’éducation, notamment le constructivisme et le socioconstructivisme, facilitent-elles la normalisation des pratiques de médiation en milieu muséal sans pour autant en corrompre la nature ?

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0050.052
Scholarly communication0.0140.018
Open science0.0020.008
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0140.002

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 head0.388
GPT teacher head0.534
Teacher spread0.147 · 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 designTheoretical or conceptual
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

Citations0
Published2017
Admission routes1
Has abstractyes

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