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Record W2294537578

Lessons learned creating a gay men’s health festival targeting community wellness instead of individual HIV prevention in Ottawa, Canada

2008· other· en· W2294537578 on OpenAlexaboutno aff

Bibliographic record

VenueUCL Discovery (University College London) · 2008
Typeother
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionHealth promotionMen who have sex with menCommunity healthGerontologyPopulationHuman immunodeficiency virus (HIV)Public healthPsychologyMedicineEnvironmental healthPublic relationsPolitical scienceFamily medicineNursing
DOInot available

Abstract

fetched live from OpenAlex

HIV transmission rates among MSM are rising in Ottawa, Canada. Within MSM health promotion, interventions focused exclusively on individual HIV transmission return diminishing positive behavioral change. Canadian health interventions increasingly attempt to move beyond the individual, emphasizing the social determinants of population health outcomes. As an ASO creating a MSM health festival, the challenge was to engage participants around social factors that influence the overall wellness of their communities. This presentation reviews the design and implementation of SNOWBLOWER, “a winter festival for guys into guys,” in 2007 and 2008. Participant surveys during and after the festival allowed organizers to determine how well programming addressed self-assessed community needs. Evaluations provided information on effective and ineffective methods of translating MSM health theory into enticing community events.

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)0.004
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.370

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0140.003
Scholarly communication0.0060.002
Open science0.0030.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.035
GPT teacher head0.300
Teacher spread0.265 · 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
GenreOther

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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