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Record W255793905

Ancient cold weather adaptations in the northern great plains

2001· article· es· W255793905 on OpenAlexaff
Ian Dyck

Bibliographic record

VenueRevista de Arqueología Americana · 2001
Typearticle
Languagees
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArtGeographyEthnologyHistory
DOInot available

Abstract

fetched live from OpenAlex

Des elements anciens de l'adaptation au froid dans le nord des Grandes Plaines. C'est depuis la fin du Pleistocene que des groupes humains habitent les Grandes Plaines de l'Amerique du Nord. Tout au long de cette longue periode d'occupation la region a connu des grandes variations saisonnieres de temperature. Le present article offre un survol des donnees ethnohistoriques et archeologiques attestant a des adaptations culturelles au climat froid et en particulier celles employees avant l'arrivee des agriculteurs euro-americains. Parmi les plus importantes on note (1) les vetements tailles de peau; (2) les tentes portatives; (3) les methodes de chasses individuelles et collectives; (4) la preservation de la nourriture en la congelant, l'entreposant, la sechant et l'utilisation d'animaux domestiques comme nourriture; (5) le transport en raquettes, toboggans et traineaux; (6) la distribution saisonniere des sites d'occupations; (7) des jeux d'hiver; et (8) la determination du temps par le nombre d'hivers s'etant ecoules et le systeme d'enregistrement de l'histoire par le decompte des hivers. Ce survol demontre que le registre ethnohistorique offre des images vives de ces elements adaptatifs a l'epoque historique ancienne. Les donnees archeologiques nous revelent l'antiquite de ces pratiques, des changements dans certains de celles-ci ainsi que des facons de resoudre certaines difficultes qui ressortent du registre ethnohistorique telle la distribution des sites d'occupation d'hiver.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.332
Teacher spread0.301 · 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 teacher head, not a consensus.

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

Citations1
Published2001
Admission routes1
Has abstractyes

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