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Record W1268663815 · doi:10.7939/r3hq3s09r

A support intervention to promote health and coping among homeless youths.

2009· article· en· W1268663815 on OpenAlexaff
Moira Stewart, Linda Reutter

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLonelinessSocial supportPeer supportMental healthAttritionPsychologyIntervention (counseling)Coping (psychology)Focus groupClinical psychologyMedicinePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Homeless youths are often vulnerable to limited support resources and loneliness. Peers are a potent source of social support. A support intervention for homeless youths was designed to optimize peer influence and was pilot tested. The intervention was based on an initial assessment of support needs and intervention preferences from the perspective of 36 homeless youths and 27 service providers. Based on the results, a 20-week pilot intervention program was designed, consisting of 4 support groups, optional one-on-one support, group recreational activities, and meals. Support was provided by professional and peer mentors, including formerly homeless youths. A total of 56 homeless youths aged 16 to 24 took part. Participants completed pre-, mid-, and post-test quantitative measures and qualitative interviews. In spite of challenges due primarily to attrition, the youths reported enhanced health behaviours, improved mental well-being, decreased loneliness, expanded social network, increased coping skills, enhanced self-efficacy, and diminished use of drugs and alcohol. Further research could focus on replication at other sites with a larger sample.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.426

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 head0.058
GPT teacher head0.388
Teacher spread0.330 · 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

Citations43
Published2009
Admission routes1
Has abstractyes

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