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Record W2132572029 · doi:10.1177/009145091404100204

The Criminal Addict: Canadian Radio Documentary Discourse, 1957–1969

2014· article· en· W2132572029 on OpenAlexaboutno aff
Susan Boyd

Bibliographic record

VenueContemporary Drug Problems · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsnot available
Fundersnot available
KeywordsCriminologyAddictionDrug addictCriminal behaviourHeroinPeriod (music)PsychologySociologyPsychiatryDrug

Abstract

fetched live from OpenAlex

This article examines early Canadian Broadcasting Corporation radio documentaries on drugs and addiction from 1957 to 1969. Socio-historical and discourse analyses were applied to radio documentaries in this study. This article highlights how discourse about “criminal addicts” is related to conceptions of drugs, addiction, criminality, drug treatment, people who use criminalized drugs, and the professionals who regulate them. In this article, I argue that the lack of public drug treatment in Canada during this period is related to the social concept of the addict as a criminal first and a person addicted second. In addition, the diverse voices of people who used criminalized drugs such as heroin — that is, those most affected by drug prohibition and criminal addict discourse — were a clear thread of resistance throughout the study sample. In conclusion, I discuss briefly how the notion of the criminal addict has endured in Canada.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.209
Threshold uncertainty score0.918

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.010
Science and technology studies0.0330.016
Scholarly communication0.0090.002
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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