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Record W2738142450 · doi:10.30849/rip/ijp.v51i1.461

HIV/AIDS and the experience of a Canadian NGO and another Brazilian

2017· article· en· W2738142450 on OpenAlexaffabout
Carlos Roberto de Castro e Silva, W. E. Hewitt

Bibliographic record

VenueRevista Interamericana de Psicología/Interamerican Journal of Psychology · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsWestern University
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Political scienceEconomic growthMedicineSocioeconomicsFamily medicineSociologyEconomics

Abstract

fetched live from OpenAlex

People living with HIV/AIDS (PHA) have been facing many difficulties in their lives because they are discriminated in various contexts, such as family, community, and work. Currently, AIDS Non-Governmental Organizations (AIDS/NGOs) have become increasingly important because, beyond providing traditional social support, they also offer an environment where PHA may openly express and share not only their experiences with HIV/AIDS, but they can change their personal and professional projetcts. We analyzed historical documents, in-depth interviews, and questionnaires answered by community members within two AIDS/NGOs, one in London, Ontario, Canada (NGO-Ca) and another in Greater Sao Paulo, Brazil (NGO-Br). In this article, some pathways of political participation, which are relevant to both communities, are discussed. Surely, this may contribute to the decreasing of stigma and discrimination related to HIV/AIDS: compassion and altruism as a bridge to political participation, effects on activism, and fostering based on solidarity and co-responsibility are also important discussed issues.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0380.009
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.079
GPT teacher head0.461
Teacher spread0.382 · 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 designQualitative
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
Published2017
Admission routes2
Has abstractyes

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