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Record W2884796209 · doi:10.7202/1048592ar

Coléoptères, poux et puces subfossiles provenant d’habitats de chasseurs-cueilleurs

2018· article· fr· W2884796209 on OpenAlexafffundvenueabout
Véronique Forbes, Frédéric Dussault, Olivier Lalonde, Allison Bain

Bibliographic record

VenueRecherches amérindiennes au Québec · 2018
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité LavalMemorial University of Newfoundland
FundersUniversity of OxfordUniversité LavalUniversity of Washington
KeywordsHumanitiesArtGeographyArchaeology

Abstract

fetched live from OpenAlex

L’archéoentomologie, l’analyse des restes d’insectes préservés en contexte archéologique, est une approche relativement méconnue en Amérique du Nord. Bien qu’une première étude d’insectes subfossiles provenant d’un site paléoesquimau ait été conduite à la fin des années 1960 au Groenland, il s’est écoulé près de trois décennies avant que de telles études se réalisent dans l’Arctique nord-américain. Depuis, une vingtaine de sites de cultures paléoesquimaudes (Saqqaq, Dorset) et néoesquimaudes (thuléennes, inuites, yup’iks) ont fait l’objet d’analyses archéoentomologiques, produisant des milliers de spécimens de coléoptères, de poux et de puces. Ces données permettent d’examiner les pratiques de subsistance et d’hygiène des anciens peuples autochtones de l’Alaska, du Nord canadien et du Groenland, ainsi que leurs effets sur la faune et la flore locale. Cet article présente un bilan de l’apport des analyses archéoentomologiques à l’étude des modes de vie des chasseurs-cueilleurs du Nord circumpolaire.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.122
GPT teacher head0.336
Teacher spread0.214 · 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

Citations3
Published2018
Admission routes4
Has abstractyes

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