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Record W2920833082 · doi:10.7202/1056382ar

La rencontre de l’ethnologie et de la muséologie, toute une histoire

2019· article· fr· W2920833082 on OpenAlexvenueaboutno aff
Anne Castelas, René Rivard, Yves Bergeron

Bibliographic record

VenueEthnologies · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

En suivant la trame du patrimoine immatériel à l’épreuve du temps, il est intéressant de retracer les liens entre l’ethnologie, étude des peuples, et la muséologie, mise en valeur du patrimoine matériel et immatériel. Notre point de départ se situe en 1937, au deuxième Congrès de la langue française au Canada, où il y a eu une vraie prise de conscience quant à la conservation le patrimoine francophone. La présence de personnalités telles que l’abbé Lionel Groulx, Maurice Duplessis, ou encore Luc Lacourcière à ce congrès en fait une date clef. Puis, de fil en aiguille, nous aborderons la modernisation des institutions culturelles au Québec, avec notamment la création de Parcs Canada en 1972 ou encore du Musée de la civilisation en 1988. Cette dynamique de modernisation permet l’inclusion du patrimoine dit populaire et du patrimoine immatériel au sein des institutions. Enfin, dans le développement d’une discipline, il ne faut pas oublier l’importance des programmes de formation pour les générations futures. Cela constituera notre troisième axe. Notre réflexion est basée sur la place du patrimoine immatériel qui est souvent questionnée mais pourtant si importante dans nos sociétés.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.285
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2019
Admission routes2
Has abstractyes

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