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Record W2292438219

Bridging the Gap: Integrating HIV Prevention into Sexual and Reproductive Health Promotion

2001· article· en· W2292438219 on OpenAlexvenueaboutno aff
Erin Connell

Bibliographic record

VenueCanadian women's studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsnot available
Fundersnot available
KeywordsReproductive healthHuman sexualityFamily planningStigma (botany)Health promotionHuman immunodeficiency virus (HIV)MedicinePopulationPolitical sciencePublic healthSociologyGender studiesFamily medicineEnvironmental healthNursingPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Planned Parenthood Federation of Canada (PPFC) is the only non-governmental organization (NGO) in Canada that provides services information and counselling exclusively on sexual and reproductive health. In December 2000 PPFC received project funding from the HIV/AIDS Prevention and Community Action Program (ACAP) at Health Canada. The project goal is to develop a resource that would allow Planned Parenthood affiliates to better recognize and serve both women at risk for HIV as well as HIV positive women. The first phase of this project involves an examination of the historical separation of HIV and sexual and reproductive health promotion and the recent attempts to reintegrate HIV prevention under the broader umbrella of sexual and reproductive health. This article will explore the reasons for the split between HIV and sexual and reproductive health planning programming and services namely the origins of the family planning movement ideology around female sexuality and the association of HIV with the gay community as well as homophobia and stigma. It will conclude by examining some of the recent research that supports bridging this gap. (excerpt)

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)0.027
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.047
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.020
Science and technology studies0.0100.009
Scholarly communication0.0110.007
Open science0.0030.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.341
Teacher spread0.295 · 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 designNot applicable
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

Citations4
Published2001
Admission routes2
Has abstractyes

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