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Record W3080167995 · doi:10.1080/0164212x.2020.1808148

Developing an Occupation-Centred Framework for Trauma Intervention

2020· article· en· W3080167995 on OpenAlexaff
Megan Edgelow, Heidi Cramm

Bibliographic record

VenueOccupational Therapy in Mental Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsOccupational therapyIntervention (counseling)Coping (psychology)PsychologyOccupational safety and healthClinical psychologyNursingMedicinePsychiatry

Abstract

fetched live from OpenAlex

Experiencing work-related trauma can negatively impact coping abilities and daily life participation. Occupational therapists (OTs) often provide health services to workers who have experienced trauma, including military members, veterans, and public safety personnel. The Occupational Therapy Trauma Intervention Framework (OTTIF) is a novel clinical reasoning framework that matches a client’s level of readiness to engage with a spectrum of evidence-based OT approaches. Using surveys at two time points, evaluation of therapist experiences of using the OTTIF elicited positive feedback that suggests the OTTIF provides a useful occupation-centred framework for evidence-informed occupational therapy practice with clients who have experienced trauma.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.403
GPT teacher head0.574
Teacher spread0.171 · 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 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

Citations14
Published2020
Admission routes1
Has abstractyes

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