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The Geographies of Intoxicants: From Production and Consumption to Regulation, Treatment and Prevention

2008· article· en· W2157868683 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

VenueGeography Compass · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConsumption (sociology)Social geographyDrug preventionConsciousnessPoliticsPublic healthAddictionSociologySocial scienceHuman geographyPolitical sciencePsychologyMedicineSubstance abusePsychiatry

Abstract

fetched live from OpenAlex

Abstract As social geographers of health, we wish to review the field of geography and intoxicants. By intoxicants, we mean substances that have psychoactive, consciousness‐altering effects. This article defines the geography of intoxicants, and provides a selective review of geographically inclined research that has focused on (i) the consumption of intoxicants, especially its regulation within public spaces, (ii) intoxicants and public health, especially concerns over the spread of communicable diseases associated with drug use, and (iii) social geography issues such as the life experiences of addiction and users, and how treatment (and prevention) and place intersect. Part of our goal in this article is to bridge the gap between the more political and medical foci with more social and health perspectives that have thus far remained understated.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.871

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.367
Teacher spread0.313 · 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