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Record W2800963199 · doi:10.1177/1363461518764488

Beyond China’s drug century: Yunnan’s first therapeutic community and narratives of drug treatment and mental health care

2018· article· en· W2800963199 on OpenAlexafffund
Sandra Teresa Hyde

Bibliographic record

VenueTranscultural Psychiatry · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChinaContext (archaeology)ConsumerismBiopowerMental healthSociologyGovernmentalityPublic healthMoral panicPleasurePolitical scienceHistoryCriminologyMedicinePsychiatryPsychologyLawPolitics

Abstract

fetched live from OpenAlex

China is experiencing rapid cultural change and new forms of sociability that are accompanied by social problems and novel humanitarian interventions that have been formulated to address those problems. The pressure related to the rapid transformation of the countryside into mid-level cities has led to recreational drug-use as a means of escape. These illegal drugs have greased the wheels of what I call an affective biopolitics that has influenced Chinese citizens. Carlos Rojas argues that development in China results from the effects of discrete protocols, or practices that stem from tensions between capital and labor, governmentality and biopolitics, and nationalism and globalization. To tease out the particulars of Rojas' protocols and practices, in this article, I first review two historical periods: 1) the rise and fall of opium consumption in the early 19th century, and 2) the 21st-century psychology boom. I use these two literature reviews to set the stage to discuss my ethnographic study of Sunlight, China's first residential therapeutic community for drug users in Yunnan Province. Sunlight's residents and founders provide a unique window into local everyday drug use at a particular time in China's economic boom, from 2007 through 2015. We know much about China's opium century but very little about the contemporary context, new consumers who partake in pleasure-consuming drugs, or the reformers who address these 21st-century public health issues.

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 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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.331
Teacher spread0.308 · 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 teacher head, 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

Citations5
Published2018
Admission routes2
Has abstractyes

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