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Record W2043255191 · doi:10.1016/j.jana.2004.11.005

Community-based HIV education and prevention workers respond to a changing environment

2005· article· en· W2043255191 on OpenAlexaffabout
Dale Guenter, Basanti Majumdar, Dennis Willms, Robb Travers, Gina Browne, Greg Robinson

Bibliographic record

VenueJournal of the Association of Nurses in AIDS Care · 2005
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGrassrootsQualitative researchProfessionalizationHarm reductionPublic relationsMandateSocial workNursingRelevance (law)Organizational cultureMedicineMedical educationPsychologySociologyPolitical sciencePublic healthSocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to understand the culture, values, skills and activities of staff involved in education and prevention activities in community-based AIDS Service Organizations (ASOs) in Ontario, Canada, and to understand the role of evaluation research in their prevention programming. In this qualitative study, 33 staff members from 11 ASOs participated in semi-structured interviews that were analyzed using the grounded theory approach. ASO staff experience tension between a historical grassroots organizational culture characterized by responsiveness and relevance and a more recent culture of professionalization. Target populations have changed from being primarily gay men to an almost unlimited variety of communities. Program emphasis has shifted from education and knowledge dissemination to a broadly based mandate of health promotion, community development, and harm reduction. Integration of evidence of effectiveness, social-behavioral theory, or systematic evaluation is uncommon. Understanding these points of tension is important for the nursing profession when it is engaged with ASOs in programming or evaluation research.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.353
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.015
GPT teacher head0.345
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

Citations16
Published2005
Admission routes2
Has abstractyes

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