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Record W4417506161 · doi:10.1177/00220345251392073

Beyond Demographics: Sex, Gender, and Sexuality in Oral Health Research

2025· review· en· W4417506161 on OpenAlex
Abbas Jessani

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

VenueAdvances in Dental Research · 2025
Typereview
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsWestern University
Fundersnot available
KeywordsHuman sexualityPsychosocialCurriculumReproductive healthConstruct (python library)Health careAccountabilityHealth policyHealth education

Abstract

fetched live from OpenAlex

Sex, gender, and sexuality are crucial and interrelated factors influencing oral health outcomes, yet they are often overlooked and inadequately addressed in human studies on oral health. Biological sex influences oral disease susceptibility through hormonal, immunological, and microbiome-related mechanisms. Concomitantly, gender as a social construct modulates health through psychosocial stress, health care access, and societal norms. Sexuality intersects with oral health through behavioral risks, stigma, and discrimination, especially among lesbian, gay, bisexual, transgender, and queer or questioning populations. Despite their importance, oral health research often treats sex as a binary demographic variable, excluding sexual and gender minority individuals. There is a lack of meaningful integration of these variables across all phases of research, from proposal development and data collection to analysis and knowledge creation. This results in limited generalizability, perpetuates health inequities, and impedes the development of inclusive, evidence-based, and person-centered interventions. Furthermore, dental education and research training programs often lack comprehensive content on sex, gender, and sexuality, contributing to research approaches and training that reinforce binary-centered investigations. Substantial gaps in mentorship, representation, and inclusive curricula largely contribute to the underrepresentation of gender-diverse scholars and leaders in oral health. To address these gaps, a multipronged action plan is necessary, including an inclusive research design, robust data collection tools, curriculum reform that integrates person-centered frameworks, community engagement and service-learning, policy change, and accountability mechanisms. The integration of intersectionality, pertinent sex, gender, sexuality, and social determinants of health in oral health research and education is essential for achieving scientific rigor, health equity, and culturally responsive care for all populations.

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)0.020
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.006
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.006
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 head0.496
GPT teacher head0.641
Teacher spread0.145 · 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