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Record W1849443401 · doi:10.4000/nda.3108

Dorsétiens et Thuléens dans l’Arctique de l’Est canadien, quelle modalité de remplacement (~XIIIe siècle apr. J.-C. ) ?

2015· article· fr· W1849443401 on OpenAlexaboutno aff
Claire Houmard

Bibliographic record

VenueLes Nouvelles de l archéologie · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Les Thuléens ont remplacé les Dorsétiens, derniers représentants des Paléoesquimaux, autour du xiiie siècle de notre ère. Ces deux groupes culturels, considérés comme deux populations génétiquement distinctes, ont vécu sur les mêmes territoires, le long des côtes de l’Arctique de l’Est canadien et groenlandais. L’animal est au centre de leur mode de vie, qu’il s’agisse de besoins alimentaires ou techniques ; matières dures (dent, os, bois de cervidé) et souples (chair, peau, tendon) sont utilisées. L’objectif était de reconstituer les comportements techniques et les traditions culturelles dorsétiennes et thuléennes, afin de comprendre les modalités du remplacement des premiers par les seconds. Si l’industrie en matières dures d’origine animale des Dorsétiens commence à être bien connue, tel n’est pas encore le cas pour celle des Thuléens. L’étude technologique menée à partir de cette culture matérielle montre que la scission proposée entre ces deux entités culturelles ne se traduit pas aussi nettement que postulée dans l’exploitation des matières osseuses. Les Thuléens fabriquent leurs objets en utilisant les mêmes techniques que les Dorsétiens, seuls les outils changent Est-ce le signe d’un métissage plus important que postulé entre les deux groupes ?

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.002

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 head0.071
GPT teacher head0.275
Teacher spread0.204 · 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
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

Citations1
Published2015
Admission routes1
Has abstractyes

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