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Record W4210537877 · doi:10.51270/45.2.303

Une archéologie sociale des Iroquoiens de Saint-Anicet, la question identitaire / A Social Archaeology of the Saint-Anicet Iroquoians: A Question of Identity

2021· article· en· W4210537877 on OpenAlexvenueno aff
Claude Chapdelaine

Bibliographic record

VenueCanadian Journal of Archaeology · 2021
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyIdentity (music)SAINTEthnologyHistoryCurranExcavationAnthropologyAssemblage (archaeology)Social identity theoryCultural identitySocial groupSociologyArtArt historyAestheticsSocial science

Abstract

fetched live from OpenAlex

The Saint-Anicet region has received continuous archaeological attention between 1992 and 2017, resulting in a large dataset on three village sites. The McDonald, Droulers, and Mailhot-Curran sites represent a local sequence covering the fourteenth to the sixteenth centuries. The material culture, specifically remains of longhouses, corn cultivation, and a rich ceramic assemblage, clearly indicates an Iroquoian identity. While the main goal of fieldwork was to build a social archaeology based on the extensive excavation of longhouses, fieldwork was guided by the conviction that Saint-Anicet Iroquoians were members of a distinct group, identified as St. Lawrence Iroquoians by archaeologists. This study will review the data and arguments supporting this specific cultural identity while problems linked to this identity building will be acknowledged.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.603

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.045
GPT teacher head0.357
Teacher spread0.312 · 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
Published2021
Admission routes1
Has abstractyes

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