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Record W2943216651 · doi:10.5038/1911-9933.13.1.1622

Cultural Impairment and the Genocidal Potential of Intoxicants: Alcohol Use in Colonial North America

2019· article· en· W2943216651 on OpenAlexvenueno aff
Elena Lesley

Bibliographic record

VenueGenocide Studies and Prevention · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideColonialismOppressionCONQUESTSubject (documents)CriminologySociologyHistoryGender studiesPolitical scienceLawPoliticsComputer science

Abstract

fetched live from OpenAlex

As a number of scholars have noted in recent critical genocide studies, Raphael Lemkin’s formulation of the “genocide” concept was much broader than the definition later enshrined in the UN Convention. Various facets of settler colonialism framed his conception, including the widespread distribution of intoxicants among subjugated peoples. In Lemkin’s view, culture was the force undergirding human collectivities and intoxicants disrupted social functioning in a number of ways -- through creating internal strife and violence, upsetting previous authority structures, causing premature deaths and eroding pre-existing cultural practices. This article draws upon Lemkin’s unfinished works to examine his case for the distribution of alcohol among Native Americans as a method of genocidal conquest. It finds that while his work on the subject remains important as it highlights the multiple ways in which colonial oppression can operate, it fails to prove genocidal intent and relies on historical materials that at times fall into the trap of “intellectual colonialism” (Quintero 2001).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.002
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 head0.023
GPT teacher head0.308
Teacher spread0.285 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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