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Record W2398838679 · doi:10.4000/gradhiva.3140

Insectes, armes et parures. Les enjeux de la collection d’Achille Raffray (Nouvelle-Guinée, 1877)

2016· article· fr· W2398838679 on OpenAlexaff
Philippe Peltier

Bibliographic record

VenueGradhiva · 2016
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Lors de sa mission en 1876 sur la côte nord de Nouvelle-Guinée, l’entomologiste Achille Raffray constitua trois collections. La première est consacrée, sans surprise, aux insectes et aux oiseaux, la deuxième, plus inattendue, aux objets ethnographiques et la troisième aux crânes humains. À son retour de mission, toutes ces collections furent achetées par l’État, les objets intégrant le musée d’Ethnographie du Trocadéro. Jusqu’à nos jours, ce dernier ensemble d’une centaine de pièces n’a pas attiré l’attention des chercheurs. Il est cependant pour l’époque un exemple remarquable de collecte et le récit de voyage que Raffray publia dans Le Tour du monde permet de comprendre comment celle-ci fut menée, au regard des débats qui agitaient alors le milieu anthropologique sur la question de l’art et de l’esthétique.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.183
Threshold uncertainty score0.364

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 studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.023
GPT teacher head0.260
Teacher spread0.237 · 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
Published2016
Admission routes1
Has abstractyes

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