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Record W1963538629 · doi:10.1080/07370016.2013.750204

Community Health Promotion With People Who Are Experiencing Homelessness

2013· article· en· W1963538629 on OpenAlexaff
Abe Oudshoorn, Catherine Ward‐Griffin, Blake Poland, Hélène Berman, Cheryl Forchuk

Bibliographic record

VenueJournal of Community Health Nursing · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsPromotion (chess)Community healthHealth promotionMedicineCommunity organizingGerontologyPsychologyNursingPolitical sciencePublic relationsPublic health

Abstract

fetched live from OpenAlex

Homelessness is an experience of being displaced. Once removed from their personal places, homeless people are barred access to healthy places in which to be. Health clinics for people who are experiencing homelessness offer an opportunity to create health-promoting places. In this study, we explore how place is experienced within a community health clinic for people who are experiencing homelessness. A critical ethnographic methodology was used. Results illustrate how clients and providers contested the space of the clinic. Discourses of safety, health promotion, and privacy were enacted, altered, and resisted in a constant practice of culture-making. Physical components of the space became conceptual components of how place and power in place were understood by clients and providers. Results point to the importance of conceptualizing service users as the key stakeholders in their care, considering how places may be more or less health promoting, and rethinking how safety is conceptualized.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.012
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.011
Scholarly communication0.0050.004
Open science0.0010.009
Research integrity0.0020.003
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 head0.089
GPT teacher head0.444
Teacher spread0.355 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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