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Record W2321204210 · doi:10.1177/0008417414564865

Metacognition in persons with substance abuse: Findings and implications for occupational therapists

2015· article· en· W2321204210 on OpenAlexvenueno aff
Sara Wasmuth, Jared Outcalt, Kelly D. Buck, Bethany L. Leonhardt, Jenifer L. Vohs, Paul H. Lysaker

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMetacognitionPsychologyAddictionPsychological interventionClinical psychologyRehabilitationSubstance abuseOccupational therapyCognitionPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Addiction is a massive public health problem in which a person's occupational life is compromised and metacognition is impaired. Occupational therapists may play a critical role in addiction rehabilitation, but more information about patterns of metacognitive deficit co-occurring with addictive behaviour is needed to develop interventions that specifically target these impairments. PURPOSE: This study examined whether persons with addiction(s) demonstrated specific patterns of metacognitive deficit on four subscales of metacognition measuring self-reflectivity, understanding others' thoughts, decentration, and mastery. METHOD: Using a mixed-methods design, qualitative data were obtained via the Indiana Psychiatric Illness Interview, which was then rated using a quantitative scale, the Metacognition Assessment Scale-Abbreviated. FINDINGS: Persons with addiction(s) demonstrated significant impairments in metacognitive mastery but not other areas of metacognition. IMPLICATIONS: Occupational therapy interventions for addiction should focus on improving metacognitive mastery. Future efficacy studies of interventions to improve mastery and overall outcomes are warranted.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.395
GPT teacher head0.510
Teacher spread0.115 · 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 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

Citations36
Published2015
Admission routes1
Has abstractyes

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