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Record W3175119192 · doi:10.1016/s2468-2667(21)00099-2

What is sexual wellbeing and why does it matter for public health?

2021· review· en· W3175119192 on OpenAlexaff
Kirstin Mitchell, Ruth Lewis, Lucia F. O’Sullivan, J. Dennis Fortenberry

Bibliographic record

VenueThe Lancet Public Health · 2021
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of New Brunswick
FundersEconomic and Social Research CouncilMedical Research CouncilChief Scientist Office, Scottish Government Health and Social Care DirectorateNational Institute for Health and Care ResearchWellcome Trust
KeywordsReproductive healthPublic healthHuman sexualityPopulation healthPopulationHealth equityPleasurePsychologySociologyMedicineGender studiesEnvironmental healthNursingPsychotherapist

Abstract

fetched live from OpenAlex

Sexual health has provided a guiding framework for addressing sexuality in public health for several decades. Although the WHO definition of sexual health is revolutionary in acknowledging positive sexuality, public health approaches remain focused on risk and adverse outcomes. The long-standing conflation of sexual health and sexual wellbeing has affected our ability to address everyday sexual issues. This Viewpoint provides a way forward to resolve this impasse. We propose sexual wellbeing as a distinct and revolutionary concept that can be operationalised as a seven-domain model. We situate sexual wellbeing alongside sexual health, sexual justice, and sexual pleasure as one of four pillars of public health enquiry. We argue that sexual wellbeing is imperative to public health as a marker of health equity, a meaningful population indicator of wellbeing, a means to capture population trends distinct from sexual health, and an opportunity to refocus the ethics, form, and practices of public health.

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)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.004
Science and technology studies0.0010.006
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.259
GPT teacher head0.478
Teacher spread0.219 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations322
Published2021
Admission routes1
Has abstractyes

Explore more

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