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Record W2949815386 · doi:10.4000/books.cths.5340

Le rôle d’enseignant du conservateur de musée de province membre de sociétés savantes sous la IIIe République

2019· book-chapter· fr· W2949815386 on OpenAlexaff
Géraldine Masson

Bibliographic record

VenueÉditions du Comité des travaux historiques et scientifiques eBooks · 2019
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La IIIe République offre au musée, corollaire de l’école, une vocation pédagogique d’édification du citoyen républicain. Le conservateur de musée devient ainsi un acteur de la transmission du patrimoine historique et culturel de la nation. Historiens, archéologues, scientifiques, érudits, les conservateurs des musées de province membres des sociétés savantes sont particulièrement investis dans l’application de cette mission didactique. À la tête de musées aux collections encyclopédiques, ils dispensent une leçon d’histoire de la nation qui bénéficie de leurs réseaux institutionnels riches d’échanges et de conseils entre savants en termes d’acquisitions, d’attribution d’œuvres, de découvertes et d’actualités de leurs travaux et d’expositions. Ils publient des ouvrages de référence et des catalogues de musées et rédigent des articles dans les bulletins des sociétés savantes, autant de sources permettant de mettre en évidence le rôle essentiel de ces acteurs de la transmission des savoirs.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.005
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.032
GPT teacher head0.239
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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