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Record W1996648091 · doi:10.1177/030802260907200306

Exploring Occupation and its Meaning among Homeless Men

2009· article· en· W1996648091 on OpenAlexaff
Gill Chard, Tracey Faulkner, Amanda Chugg

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsChinook Regional HospitalUniversity of Alberta
FundersScottish Government
KeywordsNarrativeOccupational therapyOccupational scienceMeaning (existential)Perspective (graphical)Focus groupQualitative researchLived experienceRevelationPsychologySociologyGender studiesEveryday lifeInterpretative phenomenological analysisGerontologySocial psychologyMedicinePsychotherapistSocial scienceVisual artsEpistemologyAnthropology

Abstract

fetched live from OpenAlex

Few studies have been conducted that address homelessness from the perspective of those who have experienced it. Studies tend to focus on services for homeless people, with little description of occupational engagement and the experiences of the homeless people themselves. This qualitative study, conducted within a phenomenological tradition, explored the lived experiences of adult men living in an inner-city shelter. Eight individual, unstructured interviews were carried out. In addition, three visual notebooks were compiled by the men, using photographs and text that illustrated the occupational realities of their life-world. Inductive, narrative analysis revealed four themes: keeping busy; street-life environment; loss; and revelation and sharing of self. The findings provide insight into the lives of homeless men. They therefore help to inform occupational therapy within a shelter environment in order to facilitate the homeless men moving forward to increased and more meaningful engagement in occupation and independent lives.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0060.013
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.242
GPT teacher head0.435
Teacher spread0.193 · 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 designQualitative
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

Citations31
Published2009
Admission routes1
Has abstractyes

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