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Record W4285185686 · doi:10.1093/fh/crac022

Taming Cannabis: Drugs and Empire in Nineteenth-Century France

2022· article· en· W4285185686 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrench History · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsBrock University
Fundersnot available
KeywordsHashishMythologyEmpireAncient historyCultCannabisHistoryIdeologyColonialismArgument (complex analysis)ArtClassicsPolitical sciencePsychologyArchaeologyLawMedicinePolitics

Abstract

fetched live from OpenAlex

In this valuable book David Guba traces how ideas about cannabis use in Arabic and Muslim history affected, and continue to infect, perceptions about cannabis in France and indeed elsewhere. He argues that key myths, such as the idea that the order of the assassins originated from a cult of hashish-crazed acolytes of the ‘Old Man on the Mountain’ reappeared in various assessments of the value and effect of hashish on the mind of the user. The argument is bookended with discussions of the experiences of France in Egypt during the revolutionary period and in Algeria in the middle of the Nineteenth century. Guba demonstrates in considerable detail how the myth of the assassin and the perception of the Arab and Muslim character as less refined and sophisticated than Europeans, drove a colonial ideology that sought to “civilize” these peoples. The distorted understanding of cannabis was an important aspect of...

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.177
Teacher spread0.165 · 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