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Record W7162008778 · doi:10.82308/36848

Challenges, risks, and benefits of doing HIV/AIDS prevention/support work in rural communities

2008· dissertation· en· W7162008778 on OpenAlexaboutno aff
Michael Dalton

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Service (business)Nonprobability samplingHuman immunodeficiency virus (HIV)Qualitative researchSample (material)Rural area

Abstract

fetched live from OpenAlex

AIDS Service Organizations (ASOs) have a central role in providing HIV/AIDS related services to rural communities in Ontario, Canada. To date, very little information has been published on the experience of people employed by ASOs who work in rural Canadian communities. In an effort to learn more about this important topic, this research explored the challenges, risks and benefits people in the field associate to their work. Using A. Giorgi (1985) and B. Giorgi (2006) phenomenological method a purposive sample of three participants were interviewed on two separate occasions. From 179 significant statements, 23 themes emerged to be part of three categories that included: Rural Communities, AIDS Service Organizations, and Workers' Experiences. Through the unfolding of the participants' experiences it became apparent that HIV / AIDS remains a complex phenomenon that is influenced by the structural aspects of Society.

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)0.000
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 score0.772
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.053
GPT teacher head0.264
Teacher spread0.211 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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