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Record W2133902272 · doi:10.1177/002204260503500309

The Role of Organizational Characteristics in Determining Patterns of Utilization of Services for Substance Abuse, Mental Health, and Shelter by Homeless People

2005· article· en· W2133902272 on OpenAlexaff
Carol S. North, David E. Pollio, Brian E. Perron, Karin M. Eyrich, Edward L. Spitznagel

Bibliographic record

VenueJournal of Drug Issues · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsGeorge Brown College
Fundersnot available
KeywordsDiversity (politics)Mental healthService (business)PopulationSubstance abuseOrganizational commitmentPsychologyRelevance (law)BusinessMedicinePsychiatryEnvironmental healthSocial psychologyMarketingPolitical science

Abstract

fetched live from OpenAlex

This study aims to advance understanding of service provision to the homeless population through investigation of the effects of organizational characteristics. A longitudinal study of homelessness obtained structured psychiatric interview data from 400 participants and these individuals' service use and organizational data from 23 organizations over the next 12 months. Substance abuse service use was associated with organizational funding diversity, professionalism, and focus of services on substance abuse service provision. Other mental health service use was associated with small organizational size, professionalism, and simplicity of organizational funding diversity. Shelter service use was associated with complexity of services and small organizational size and inversely related to professionalism of staff. Results suggest relevance of organizational characteristics to understanding service access and use, controlling for individual need factors. Only by examining interactions among individual and organizational characteristics across sectors of care can the complexity of service provision to this multifaceted population be approached.

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)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.017
GPT teacher head0.355
Teacher spread0.339 · 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 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

Citations21
Published2005
Admission routes1
Has abstractyes

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