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Re‐Evaluating Current Public Health Policy: Alternative Public Health Nursing Approaches to Sexually Transmitted Infection Testing for Teens and Males who Have Sex with Males

2005· article· en· W1975257531 on OpenAlexafffundabout
Patrick O’Byrne, Dave Holmes

Bibliographic record

VenuePublic Health Nursing · 2005
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Ottawa
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsPublic healthHealth promotionHealth careMedicinePublic health nursingHealth policyReproductive healthPopulationEnvironmental healthNursingFamily medicineGerontologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: Due to a recent increase in the rates of reportable sexually transmitted infections (STI) across Canada, and the movement of public health nursing initiatives to a health promotion/illness prevention model, this paper proposes alternative strategies to current public health initiatives to encourage individuals who are labelled as at-risk by public health discourses, such as teens and males who have sex with males (MSM), to undertake preventative screening. THEORETICAL DESIGN: To undertake this task, we approached Health Canada's (2002) determinants of health utilizing Lupton's (1995) post-structuralist work on public health to suggest that for some members of these groups, health is not an imperative. CONCLUSIONS: As such, we propose that increasing anonymous testing and its advertisement would provide one means of providing population-sensitive care and could thus increase the screening rates of individuals within groups who reject the public health "healthy" disquisition.

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)0.017
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0080.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.531
GPT teacher head0.507
Teacher spread0.024 · 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.

Study designOther design
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
Published2005
Admission routes3
Has abstractyes

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