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Record W2954176191 · doi:10.1080/0164212x.2019.1627270

Survivors of Sex Trafficking: Occupation-Based Intervention for Executive Functioning

2019· article· en· W2954176191 on OpenAlexaboutno aff
Shannon Wall Mangum, Barbara M. Doucet, Mark P. Blanchard, Kelly Alig

Bibliographic record

VenueOccupational Therapy in Mental Health · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionIntervention (counseling)Task (project management)Occupational therapyPsychologyExecutive functionsClinical psychologyTest (biology)MedicinePsychiatryCognition

Abstract

fetched live from OpenAlex

Persons traumatized through sex trafficking can demonstrate executive function (EF) deficits. We explored whether occupation-based (OB) interventions used with females who had been trafficked would improve EF skills. Eight women engaged programing over eight months. The Canadian Occupational Performance Measure (COPM), Executive Function Performance Test (EFPT), and the Occupational Therapy Task Observation Scale (OTTOS) were used to measure occupational performance, EF skills, and task behaviors before and after intervention. Gains seen in occupational performance and task behavior were significant: t (7) = −2.49, p = .04, with large effect (d = 0.88). Findings suggest OB interventions may improve EF skills in sex-trafficked women.

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)0.001
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 score0.263
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.041
GPT teacher head0.386
Teacher spread0.345 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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