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Recovered, in Recovery or Recovering from Substance Abuse? A Question of Identity

2009· article· en· W1985204306 on OpenAlexaff
Nick Doukas, Jim Cullen

Bibliographic record

VenueJournal of Psychoactive Drugs · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsIdentity (music)Substance abusePsychologyPrejudice (legal term)Social psychologyDissociative identity disorderCriminologyPsychotherapistAesthetics

Abstract

fetched live from OpenAlex

There has always been widespread debate on how people with past substance abuse problems choose to identify themselves with regards to their recovery and the terms used to associate with that identity. Most of the disagreement over these terms is rooted on whether recovery is seen as an ongoing process ("recovering" or "in recovery") or a life event that can be mastered ("recovered"). This article discusses these three controversial terms and attempts to make them available as terms that one can use or identify with by presenting different perspectives on the topic of recovery. Some of these perspectives may be unconventional when compared to traditional views of the recovery process, but they are the realities of many individuals who have had a past experience with substance abuse and may be confronted with prejudice when voicing their recovery in a past tense. The article makes comparisons between the DSM IV and the Big Book of AA and discusses identity vs labels and the influence of the medical community on this controversial topic.

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)0.012
metaresearch head score (Gemma)0.023
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.059
Scholarly communication0.0100.020
Open science0.0020.008
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0030.001

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 head0.121
GPT teacher head0.444
Teacher spread0.323 · 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

Citations12
Published2009
Admission routes1
Has abstractyes

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