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Record W1847687209 · doi:10.7202/1029019ar

Accompagner les Taonga à travers le monde

2015· article· fr· W1847687209 on OpenAlexaffvenueabout
Natacha Gagné, Mélanie Roustan

Bibliographic record

VenueAnthropologie et Sociétés · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’exposition E Tû Ake : Standing Strong (Mâori debout) conçue par le musée national de Nouvelle-Zélande, le Museum of New Zealand Te Papa Tongarewa, fut présentée en 2011-2012 au Musée du quai Branly, à Paris, et en 2012-2013 au Musée de la civilisation, à Québec. Sont discutés ici les résultats préliminaires d’une recherche comparative portant sur la conception et la réception de cette exposition itinérante : ses permanences et transformations au sein des différentes institutions, les effets de la volonté des Mâori de maintenir la dimension rituelle des objets. Il s’agit de réfléchir à l’exposition comme une « vue de l’Autre », au double sens d’un regard porté par les Mâori sur eux-mêmes et leurs objets, et d’un regard porté sur eux à travers leurs objets et leur mise en scène. Le croisement de ces regards permet de saisir l’exposition comme créatrice d’un espace de réflexion sur Soi et sur le rapport à l’altérité, que ce soit au niveau des équipes des musées ou de leurs visiteurs. Ces questionnements prirent des tonalités différentes en fonction des traditions muséales et nationales. Nous explorons ces processus en portant une attention particulière au traitement des objets et aux usages des corps.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.482
GPT teacher head0.551
Teacher spread0.068 · 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 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

Citations6
Published2015
Admission routes3
Has abstractyes

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