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Record W2606064733 · doi:10.1177/0008417416688709

Occupation-based practices and homelessness: A scoping review

2017· review· en· W2606064733 on OpenAlexfundvenueaboutno aff
Laurence Roy, Catherine Vallée, Bonnie Kirsh, Carrie Anne Marshall, Rebecca Marval, Alissa Low

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2017
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersMcGill University
KeywordsOccupational therapyPsychological interventionContext (archaeology)RehabilitationPsychologyMedicineNursingPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Persons experiencing or at risk of homelessness have occupational needs that are seldom addressed in the Canadian system of care. The lack of documented evidence on occupational therapy practices in this field hinders the development of the profession. PURPOSE: This article identifies current and potential practices that aim to enable or support the occupations of persons experiencing or at risk of homelessness. METHOD: A scoping review was conducted, including evidence from both occupational therapy and non-occupational therapy sources. FINDINGS: One hundred and seventy-eight papers were selected in the areas of occupational performance skills training, enrichment of occupational repertoire, employment/education, physical rehabilitation services, child/family services, community building, occupational transition from homeless to housed, literacy, and disaster relief. IMPLICATIONS: Occupational therapists can build environments and create opportunities that facilitate occupational engagement of individuals experiencing homelessness. Gaps in knowledge include the evaluation of occupational therapy practices, the Canadian context of family homelessness, and the cultural safety of occupational therapy interventions.

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)0.006
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0140.016
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.719
GPT teacher head0.653
Teacher spread0.066 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations53
Published2017
Admission routes3
Has abstractyes

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