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Record W2580404245

Therapeutic Communities for Substance Use Treatment: How Psychosocial Integration Can Be Integrated Into Residential Recovery

2016· dissertation· en· W2580404245 on OpenAlexaboutno aff
Paul J. Martin

Bibliographic record

VenueNational University System Repository (National University System) · 2016
Typedissertation
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialSubstance usePsychotherapistTherapeutic communityPsychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Problematic substance use continues to be well publicized in academic writing and the mainstream media. Using a narrative literature review, I examine the history of substance use in Vancouver from the theoretical framework of Alexander’s (2008) theory of psychosocial dislocation. I propose that an appropriate model of intervention is the Therapeutic Community (TC). The TC is set up to mobilize mutually supportive peer relations. These relationships are fostered through structured encounter meetings led by senior residents and an emphasis on working together for the benefit of the group. The TC has a history of providing an environment that produces beneficial outcomes for clients. Although TC research may lack the support of
\nrandomized controlled trials (RCT), research using methods suitable for analyzing TC outcomes has shown numerous positive results for participants. I propose that the benefits for TC participants in Vancouver can be enhanced through seeking psychosocial integration both in the TC and in the Greater Vancouver area. This can be accomplished through serving and seeking healing relationships with populations—both indigenous and immigrant—that have an experience of psychosocial dislocation.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.036
GPT teacher head0.256
Teacher spread0.220 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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