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Record W2028706564 · doi:10.1080/02601370500280165

A constructivist approach to HIV/AIDS education for women within the Maritime Provinces of Canada

2005· article· en· W2028706564 on OpenAlexaffabout
Donna Bulman

Bibliographic record

VenueInternational Journal of Lifelong Education · 2005
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsConstructivist teaching methodsThematic analysisQualitative researchHuman immunodeficiency virus (HIV)Focus groupReproductive healthGender studiesMedicinePsychologySociologyFamily medicinePedagogyEnvironmental healthPopulationSocial scienceTeaching method

Abstract

fetched live from OpenAlex

The primary objective of this research was to increase understanding of how women in the Maritime Provinces of Canada learn about the HIV/AIDS epidemic. This research utilised a qualitative approach with specific methods including interviews, joint interviews and focus groups. Overall 44 women participated in this research. The data was analysed using a thematic approach. The main findings of this research are that (1) women in the Maritime Provinces of Canada may have incomplete information about HIV/AIDS and sexual health due to limited experience with the HIV/AIDS epidemic; (2) violence greatly affects the lives of women in this region; and (3) informal learning is the most important factor that determines what Maritime women know about HIV/AIDS. A primary recommendation from this research is that when working with adult women to increase their understanding of HIV/AIDS it is helpful to work within a constructivist framework in order to develop a deeper understanding of the magnitude and potential outcomes of the HIV/AIDS epidemic.

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)0.025
metaresearch head score (Gemma)0.011
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 score0.144
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0250.026
Scholarly communication0.0100.003
Open science0.0030.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.393
Teacher spread0.362 · 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

Citations6
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Lifelong EducationSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207