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Record W4311656684 · doi:10.52975/llt.2022v90.004

Forty Canoes of Women

2022· article· en· W4311656684 on OpenAlexaffvenue
Peter Campbell

Bibliographic record

VenueLabour / Le Travail · 2022
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsQueen's University
Fundersnot available
KeywordsCourageIndigenousHuman settlementGeographyAgricultureEthnologySocioeconomicsHistoryGender studiesSociologyPolitical scienceArchaeologyEcologyLaw

Abstract

fetched live from OpenAlex

There has been an increasing tendency in recent decades to characterize North American Indigenous peoples as “people of the corn” living in permanent or semi-permanent settlements. This approach focuses on matrilineal, agricultural societies in which women play a central role in the economy and the organization of domestic life. Iroquoian women have been at the heart of this approach, while Algonquian women from patrilineal, hunter-gatherer societies remain in the shadows of the men who continue to be perceived as the main providers. In reality, on both the land and the water, the “nomadic” way of life of the people of the forest was anchored in the courage, strength, and endurance of Algonquian women providers.

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)0.003
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: none
Teacher disagreement score0.063
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.004
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0630.011

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 head0.022
GPT teacher head0.311
Teacher spread0.289 · 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
Published2022
Admission routes2
Has abstractyes

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