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Record W7006149035

STORIES FROM THE RAINBOW ROAD: 2SLGBTQIA+ Identified Youth and Service Provider Experiences of Mental Health Service Delivery in the Province of Newfoundland and Labrador

2021· article· en· W7006149035 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2021
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthService providerContext (archaeology)Service delivery frameworkMental health serviceService (business)Focus group
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT\n Stories from the Rainbow Road: 2SLGBTQIA+ Identified Youth and Service Provider Experiences of Mental Health Service Delivery in the Province of Newfoundland and Labrador\n \nThe purpose of this research project was to understand how publicly funded mental health service provision to 2SLGBTQIA+ identified youth in the Province of Newfoundland and Labrador (NL) is influenced by cis and heteronormativity. In a review of the associated literature, there is a notable focus on the barriers to mental health services experienced by queer and trans youth in general; however, there is very little information about the actual service delivery experiences of those youths who manage to access mental health supports and an even greater paucity of information that is specific to the province of NL.\nThis research project sought to “step into” these identified gaps to give 2SLGBTQIA+ identified youth in the province of NL the opportunity to share their stories of mental health service delivery concerning cis and heteronormativity. Similarly, to provide context for these experiences, mental health service providers were also included and asked to share their experiences of the mental health service delivery system concerning their work with queer and trans youth.\nA total of ten 2SLGBTQIA+ identified youths and five service providers were recruited for this project. A triangulated research design was employed as follows: 1) fifteen narrative-based interviews were conducted with study participants regarding their respective service delivery experiences with regard to cis and heteronormativity;2) four youths and two service providers participated in the development and production of a personal digital story which highlighted their mental health service delivery experience as a recipient and/or provider of the same; and 3) four youths took part in a storytelling circle where they shared their personal digital story with other storytelling circle participants.\nThe outcomes of this study are significant for several reasons. They are Newfoundland and Labrador specific. Their timing aligns with the provincial mandate to overhaul its addiction and mental health service delivery systems and they represent the actual voices of the queer and trans youth consumer and the voices of those who provide services. As such, this project seeks to make a local contribution and it provides timely and salient recommendations for the improvement of future mental health service delivery making it safe, inclusive and responsive to the needs of 2SLGBTQIA+ youth service users in the province of NL.\nKey Words:\nHeteronormativity; Cisnormativity; 2SLGBTQIA+ Identified Youth; Mental Health Service Providers; Mental Health Service Provision Experiences; Qualitative Research; Digital Storytelling; Newfoundland and Labrador.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.007
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.282
Teacher spread0.252 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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