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Record W4284701252 · doi:10.21203/rs.3.rs-1804979/v1

Identity development, attraction, and behaviour of heterosexually identified men who have sex with men: Scoping review protocol

2022· preprint· en· W4284701252 on OpenAlexaff
Andrew D. Eaton, Travis R. Scheadler, Cara Bradley, Lauren B. McInroy, O Beer, Erin Beckwell, Adam Busch, Paul A. Shuper

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsAIDS Committee of TorontoCentre for Addiction and Mental HealthUniversity of Regina
Fundersnot available
KeywordsAttractionIdentity (music)Protocol (science)PsychologyGender identityGender studiesSociologySocial psychologyMedicineArtPhilosophyAesthetics

Abstract

fetched live from OpenAlex

Abstract Background: Heterosexually identified men who have sex with men (H-MSM) are distinct from other heterosexual men and from gay, bisexual, and other sexual minority men. Specifically, H-MSM experience discordance between their sexual identity (i.e., heterosexual) and behaviours (i.e., sexual encounters with other men). This sexual identity-behaviour discordance can create barriers to obtaining healthcare and social support. Understanding and accepting H-MSM as they self-identify may be necessary to implement effective public health and psychosocial interventions. The aim of the present study is to provide an overview of research on H-MSM.Methods: A scoping review will be conducted to identify and describe the identity development, attraction, and behaviour of H-MSM. This scoping review will also identify and describe current trends related to the recruitment of H-MSM and recommended directions for future research. Searches will be conducted in Academic Search Complete, APA PsychInfo, CINAHL Plus with Full Text, Education Research Complete, Gender Studies Database, GenderWatch, Health Source: Nursing/Academic Edition, LGBTQ+ Source, MEDLINE, Psychology and Behavioral Sciences Collection, SocINDEX with Full Text, Sociological Collection, Social Work Abstracts, ProQuest Dissertations and Theses, Google, Web of Science, and ResearchGate. Primary research studies published in peer-reviewed journals will be included. Dissertations and theses that include primary research on H-MSM will also be included. Reference lists, experts in the field, preprint servers, and relevant conferences will also be consulted for extant and in-progress literature. Two reviewers will independently pilot the data extraction form and conduct the title and abstract screening, with consultation from a research librarian. Seven reviewers will then conduct the full-text article screening. Thematic content analysis will guide the review; through independent review and reviewer meetings, themes and subthemes will be identified and reported from the extracted literature.Discussion: This is the first known knowledge synthesis on H-MSM; it seeks to better understand sexual identity-behaviour discordance amongst cisgender men. We anticipate that a theoretical framework of H-MSM’s sexuality, internal processes, and behaviours will be constructed from this review. Alongside implications for further research with H-MSM, this review may be relevant to sexually transmitted infection public health, and to clinicians working in the field of male sexuality.Scoping review registration: Submitted to Open Science Framework

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)0.089
metaresearch head score (Gemma)0.092
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.089
Threshold uncertainty score0.469

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0890.092
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0130.013
Bibliometrics0.0190.016
Science and technology studies0.0050.005
Scholarly communication0.0090.008
Open science0.0060.006
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0520.009

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 head0.169
GPT teacher head0.545
Teacher spread0.376 · 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
GenreProtocol

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
Published2022
Admission routes1
Has abstractyes

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