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Record W4409956018 · doi:10.1186/s12903-025-05906-6

The intersection of cannabis use and oral health among 2SLGBTQI+ youth: a qualitative study protocol

2025· article· en· W4409956018 on OpenAlexafffundabout
Abbas Jessani, Fabio Arriola‐Pacheco, Alexia Athanasakos, Mario Brondani, Herenia P. Lawrence

Bibliographic record

VenueBMC Oral Health · 2025
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of British ColumbiaDucks Unlimited CanadaPublic Health OntarioWestern University
FundersCanadian Institutes of Health Research
KeywordsMedicineOral and maxillofacial surgeryProtocol (science)CannabisQualitative researchMarijuana smokingFamily medicineIntersection (aeronautics)PsychiatryAlternative medicineDentistrySubstance use

Abstract

fetched live from OpenAlex

BACKGROUND: Two-Spirit, lesbian, gay, bisexual, transgender, queer or questioning, intersex, or other sexual orientations and gender identities (2SLGBTQI+) youth face multiple social and structural disparities and barriers that contribute to a sense of mistrust in the provision of healthcare services, including oral health. Cannabis use is also high among 2SLGBTQI+ individuals; however, unknowns exist regarding recreational use and its impact on oral health. Our research aims to explore the intersectionality of 2SLGBTQI+ youth, oral health, and cannabis consumption. METHODS: This qualitative study, guided by community-based participatory research and interpretative phenomenological approaches, will recruit consenting 2SLGBTQI+ youth, aged 19 and older, accessing services at Youth Opportunities Unlimited in London, Canada. Approximately 25 to 30 participants will be recruited to complete a one-on-one in-depth interview or focus group to collect information on their perception about the relationships between cannabis use and oral health. DISCUSSION: Recognizing the self-perceived pathways through which cannabis impacts oral health will prompt the development of theories, raise awareness, and support advocacy efforts for and by 2SLGBTQI+ youth, while also providing valuable insights for the community and healthcare providers at large.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.124
GPT teacher head0.492
Teacher spread0.369 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2025
Admission routes3
Has abstractyes

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