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Record W1754454564 · doi:10.7202/1030970ar

Les sacs hurons-wendats avant 1850 : une coupe unique

2015· article· fr· W1754454564 on OpenAlexvenueno aff
Nikolaus Stolle, O Bouchard

Bibliographic record

VenueRecherches amérindiennes au Québec · 2015
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersWestern Michigan University
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Chez les Amérindiens, les sacs étaient faits pour conserver des objets personnels destinés à des usages quotidiens ou rituels, et ce dans toute l’Amérique du Nord orientale. D’anciennes mentions du xviie siècle parlent de récipients tissés en fibres végétales et de sacs faits d’une peau entière de mammifère. Les plus anciens sacs préservés et documentés, faits de cuir façonné, que l’on trouve dans des collections euro-américaines privées ou publiques, datent de la seconde moitié du xviiie siècle. Malheureusement, ces exemplaires n’ont pas été très bien étudiés. Au mieux, les sacs ont été décrits dans des catalogues et attribués sans documentation satisfaisante – si ce n’est de brèves mentions concernant des périodes plus récentes. On comprend encore mal l’historique du processus de collecte, les types de fabrication et les fonctions matérielles et, ce qui est le plus important, l’identification des variantes régionales et tribales, les styles artistiques des artisanes, ainsi que les changements observés dans le temps. La présente recherche répond à certaines de ces questions, notamment à propos d’un ensemble de sacs de cuir façonné, très proches quant à leur style, qui datent d’avant 1850 et sont attribués aux Hurons-Wendats.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.088

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 studies0.0050.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.196
GPT teacher head0.297
Teacher spread0.101 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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