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Record W2086755403 · doi:10.1080/16066350802011664

A qualitative study on the initiation into injection drug use: Necessary and background processes

2008· article· en· W2086755403 on OpenAlexaff
Nooshin Khobzi, Carol Strıke, Walter Cavalieri, Robert Bright, Ted Myers, Liviana Calzavara, Margaret Millson

Bibliographic record

VenueAddiction Research & Theory · 2008
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of TorontoPublic Health OntarioCentre for Addiction and Mental HealthWestern University
Fundersnot available
KeywordsPsychosocialContext (archaeology)Qualitative researchInjection drug useDrugPsychologyChildhood abuseSubstance abuseProcess (computing)Developmental psychologyMedicinePsychotherapistPsychiatrySociologyHuman factors and ergonomicsDrug injectionChild abusePoison controlMedical emergencyComputer scienceSocial scienceHistory

Abstract

fetched live from OpenAlex

Previous literature has identified several factors associated with the initiation of injection drug use; we add to this literature by focussing on the biological, psychosocial, socio-cultural and socio-structural processes that play a role in injection initiation. We identified three necessary processes. Firstly, one must already have developed a conception of drugs as creating desired effects. Secondly, initiation is born out of a social context through interaction with injection drug users. Lastly, the medical mismanagement of pain was a necessary process for a small number of participants. This article also sheds some light on how and why such necessary processes develop. In general, the majority of the participants indicated backgrounds of intense psychosocial and socio-structural hardship. An unstable family life, childhood abuse and environments where drug use is prominent all helped to reinforce a sense of inevitability in some participants.

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)0.023
metaresearch head score (Gemma)0.026
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 score0.023
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0140.013
Scholarly communication0.0050.007
Open science0.0020.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.188
GPT teacher head0.446
Teacher spread0.258 · 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

Citations28
Published2008
Admission routes1
Has abstractyes

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