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Record W7007763606

Adventure therapy for youth with addictions in residential treatment: an analysis of program processes and proximate outcomes

2014· dissertation· en· W7007763606 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsnot available
Fundersnot available
KeywordsSobrietyContext (archaeology)AddictionFidelityQualitative researchCognitive restructuringProgram evaluationAddiction treatmentQualitative property
DOInot available

Abstract

fetched live from OpenAlex

This study evaluated a residential treatment center for youth with addictions that used processes of adventure therapy, family involvement, community, and relationships. The evaluation contributed to filling gaps in the literature by linking processes to proximate outcomes. A mixed methods design used quantitative data from 2005-2013 program statistics and 93 Resiliency Canada Questionnaires, as well as qualitative data from 17 formal interviews, 12 informal interviews, and observation of 12 participants. A program description was provided for context and transferability. Results indicated that (a) the program demonstrated fidelity with the logic model, (b) clients’ had raised awareness of strengths, (c) youth shared experiences of the impact of addiction, (d) youth lived healthy, substance-free lives, (e) positive family relationships were promoted, (f) youth increased resiliency, and (g) youth in the program for longer than a month maintained sobriety immediately afterwards and the majority (n=2) had long-term reduction in substance misuse.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.305
Teacher spread0.285 · 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 designObservational
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

Citations1
Published2014
Admission routes1
Has abstractyes

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