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Record W2905633072 · doi:10.1177/1476750318818875

Lessons from a community-based participatory research study with transgender and gender nonconforming youth and their families

2018· article· en· W2905633072 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

VenueAction Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité de Montréal
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMaternal and Child Health BureauNational Institute on Minority Health and Health DisparitiesNational Institute of Allergy and Infectious DiseasesNational Center for Chronic Disease Prevention and Health PromotionNational Institute of Mental HealthHealth Resources and Services AdministrationNational Institutes of Health
KeywordsTransgenderParticipatory action researchCommunity-based participatory researchInsiderPopulationSociologyPsychologyPublic relationsGender studiesPolitical science

Abstract

fetched live from OpenAlex

Community-based participatory research (CBPR) involves community members collaborating with academic investigators in each step of the research process. CBPR may be especially useful for research involving marginalized populations with unique perspectives and needs. In this paper, we discuss successes and challenges of using a CBPR approach for the Trans Teen and Family Narratives Project, a longitudinal mixed-methods study to examine how the family environment affects the health and well-being of transgender and gender nonconforming (TGN) youth. We describe considerations for using a CBPR approach with this population, including defining the community of TGN youth and families, engaging the community in the research process, managing conflicting agendas for community partner meetings, addressing insider/outsider status of the researchers, resolving researcher/community tensions regarding data collection tools, integrating academic and community members into a cohesive research team, developing safety plans to address participant suicidality disclosures, and differentiating the role of academics as researchers vs. advocates. We conclude by sharing lessons learned, which can inform future research to address the needs of TGN youth and families.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.921
GPT teacher head0.639
Teacher spread0.282 · 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