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Record W3048941838 · doi:10.1177/0017896920950774

Sexual health among Kenyan male sex workers in a time of COVID-19

2020· article· en· W3048941838 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Education Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsKenyaGovernment (linguistics)Reproductive healthSex workHealth carePandemicMedicineCoronavirus disease 2019 (COVID-19)Human immunodeficiency virus (HIV)Environmental healthPsychologyEconomic growthPolitical scienceFamily medicinePopulationDisease

Abstract

fetched live from OpenAlex

Objective: This report identifies the profound effects that the COVID-19 pandemic and the resultant government lockdown have had on sexual health services delivery to a community of marginalised male sex workers in Nairobi, Kenya. Methods: Based on the experiences shared during ongoing virtual conversations with peer health workers, a case study was developed to identify the challenges encountered by peer health workers. Findings: Peer health workers confronted the new health crisis surrounding COVID-19 while also persisting in their efforts to deliver HIV services to male sex workers. Unable to receive status as ‘essential workers’, their actions often fell short in efforts to maintain male sex workers’ access to vital HIV prevention, treatment and care resources. Conclusion: The struggles encountered, amid dwindling resources, underscore the vital work needed to meet the health needs of a marginalised group that remains largely excluded from the government health system.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.407
Teacher spread0.352 · 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