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Record W2089424176 · doi:10.1353/hpu.2010.0662

Determining Needs and Setting Priorities for HIV-Affected and HIV-Infected Persons: Northeast Ohio and San Diego

2000· article· en· W2089424176 on OpenAlex
Sana Loue, Marlene Faust, Daniel J. O’Shea

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Health Care for the Poor and Underserved · 2000
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsCARE ActNeeds assessmentHuman immunodeficiency virus (HIV)Medical prescriptionMedicinePaymentGerontologyHealth careEnvironmental healthBusinessFamily medicineNursingEconomic growthPolitical scienceFinance

Abstract

fetched live from OpenAlex

The Ryan White Comprehensive AIDS Resources Emergency (CARE) Act of 1991 requires that communities receiving Title I funding engage in a needs assessment and priority process to guide the allocation of those funds to various services within the local community. This paper reports on the process and results of the needs assessments in northeast Ohio and San Diego County for 1996-1997 and 1998. Data from northeast Ohio's 1998 needs assessment indicated significant differences between whites and nonwhites in the utilization of HIV specialist care, HIV-related prescription medications such as antiretrovirals, and health insurance. A need for additional dental care, complementary therapies, housing, and assistance with utility payments was found in both geographic areas. Consumer participation in San Diego's health department-based needs assessment process was more extensive than in northeast Ohio's academic-based approach but was also related to increased community-borne expense.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.041
GPT teacher head0.361
Teacher spread0.320 · 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