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Record W4386692384 · doi:10.3368/aa.59.1.71

Traditional Aboriginal and Inuit Judicial Proceedings

2023· article· en· W4386692384 on OpenAlexaboutno aff
Christophe Darmangeat

Bibliographic record

VenueArctic Anthropology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsBattleEconomic JusticeModerationCollective actionLawPolitical scienceSociologyCriminologyEthnologyHistoryArchaeologySocial psychologyPsychologyPolitics

Abstract

fetched live from OpenAlex

Abstract This article draws on a review of the literature to provide an inventory of procedures and sanctions relating to the exercise of justice and law in traditional Australian and Inuit societies—in the broad sense, the social management of conflicts. The Inuit conception of judicial action is highlighted, which, unlike Australian practices, emphasizes psychological and social dimensions rather than physical sanctions. Here, I use an analytical grid previously developed for Australia to classify the procedures observed among the Inuit. This approach is articulated around three formal criteria (symmetry, moderation, and designation) and reveals a sharp dichotomy in Inuit peoples between Alaska and the eastern Canadian and Greenlandic regions. The east is marked by the almost total absence of collective designation procedures, in any form whatsoever, with the possible and rare exception of the regulated battle. This absence explains the limited extent of warfare—at least, internal to the Inuit groups—and low-intensity feuding in this region. Alaska, contrarily, experienced several variants of collective actions, including feuds and judicial warfare.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.056
GPT teacher head0.412
Teacher spread0.356 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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