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Record W1492709513 · doi:10.7202/1025254ar

Les rôles contemporains de la culture matérielle inuit ancienne

2014· article· fr· W1492709513 on OpenAlexaffvenueabout
Marie-Pierre Gadoua

Bibliographic record

VenueÉtudes/Inuit/Studies · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article explore le potentiel des collections ethnographiques inuit pour la recherche archéologique collaborative. Nous présentons une étude réalisée au Musée McCord à Montréal, où des groupes d’aînés inuit ont été invités à partager leurs connaissances à propos d’objets inuit du quotidien, collectés durant la première moitié du XX e siècle au Canada. Cette recherche visait à mieux comprendre les significations sociales de l’équipement de chasse, des outils pour la préparation des peaux et la confection de vêtements, des ustensiles domestiques et des divers objets personnels (couteaux, peignes et ornements) chez les Inuit au début du siècle dernier, afin d’aider les analyses archéologiques d’objets thuléens analogues. Plus particulièrement, nous exposons la méthodologie de ces ateliers au Musée McCord où les participants étaient invités à manipuler librement les objets et expliquons comment ces interactions ont joué un rôle dans les processus de remémoration et de partage des savoirs. Nous concluons en présentant quelques résultats des analyses archéologiques qui ont suivi ces ateliers, ainsi qu’une discussion sur notre vision de la collaboration entre les Inuit, les institutions muséales et les archéologues.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0070.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.080
GPT teacher head0.403
Teacher spread0.323 · 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 designQualitative
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

Citations5
Published2014
Admission routes3
Has abstractyes

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