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Record W70398051

"They Punish Murderers, Thieves, Traitors and Sorcerers": Aboriginal Criminal Justice as Reported by Early French Observers

2002· article· en· W70398051 on OpenAlexvenueno aff
Desmond H. Brown

Bibliographic record

VenueHistoire sociale · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRetributive justiceLawRestitutionCriminologyCriminal lawPunishment (psychology)Criminal justiceBetrayalPolitical scienceSociologyEconomic JusticePsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

A common theme in the writings of European explorers, historians, and religious emissaries who were among the first to comment on the inhabitants of the western hemisphere was the absence in Aboriginal society of any concept of law. In some cases these early commentators may not have interpreted what they saw correctly, and they used French words with specific legal definitions that were not relevant in the context of the behaviour they attempted to describe. Evidence from their writings, especially those of the Jesuits, shows that there was in fact law among the Native peoples of the northeast, and particularly criminal law, albeit of a different kind and process than French law. In France, with retribution or deterrence as the objective of the judicial system, the individual alone was responsible for his or her actions and suffered punishment accordingly. In contrast, apart from cases of sorcery or betrayal, which were punishable by death, Aboriginal justice sought to restore social cohesion and harmony among the group by restitution, which was a collective responsibility.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.931

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.010
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.221
Teacher spread0.193 · 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 designQualitative
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

Citations2
Published2002
Admission routes1
Has abstractyes

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