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Record W2900456336 · doi:10.4000/palethnologie.493

The Household among Iroquoian Seal Hunters of the Province of Canada during the Late Woodland Period (1000-1535 CE)

2016· article· en· W2900456336 on OpenAlexaboutno aff
Michel Plourde

Bibliographic record

VenuePalethnologie · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsWoodlandArchaeologyHuman settlementGeographyPeriod (music)Spring (device)ExcavationEstuarySeal (emblem)GeologyEcologyOceanography

Abstract

fetched live from OpenAlex

During the Late Woodland Period (AD 1000-1600), St. Lawrence Iroquoians developed a seasonal transhumance between the present day Quebec City area ("province de Canada") and the mouth of the Saguenay River, located on the margin of the St. Lawrence estuary, to hunt seals. The archaeological data highlights two types of settlements: a first type used in spring by small groups of male hunters targeting harp seals, and a second type occupied in summertime by nuclear families, when gray and common seals feed in the area. On the one hand, we find differences between the dimensions and types of spring and summer camps. On the other hand, we note that the shape of houses revealed by archaeological excavations in the Tadoussac area differ from those found in the semi-permanent settlements located in the Quebec City area and thus reflect short-term occupations related to intense seal hunting periods.

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 score0.023
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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