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Record W3123632581 · doi:10.1186/s12913-021-06058-3

On the move: exploring Inuit and non-Inuit health service providers’ perspectives about youth, family and community participation in care in Nunavik

2021· article· en· W3123632581 on OpenAlexafffundabout
Sarah Fraser, Louise Moulin, Dominique Gaulin, Jennifer Thompson

Bibliographic record

VenueBMC Health Services Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCégep Marie-Victorin
FundersSick Kids Foundation
KeywordsSnowball samplingThematic analysisIndigenousService providerQualitative researchSocial workNursingPsychological interventionHealth careNursing researchMedicineService (business)SociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Literature about participation in health and social services suggests that youth, and more specifically Indigenous youth, are difficult to engage within health and social services. Youth are less likely to access services or to actively participate in decision-making regarding their personal care. Service providers play a crucial role in engaging youth based on the ways in which they seek, establish, and maintain relationships with youth and their families. The way in which providers engage with youth will depend on various factors including their own perceptions of the roles and relationships of the various people involved in youth's lives. In this article, we analyze health and social service providers' perspectives, experiences and expectations regarding the roles of Indigenous youth, families and community in care settings in Nunavik, Quebec. METHODS: Using a snowball sampling approach, we recruited 58 interview participants (39 non-Inuit and 19 Inuit), including psychiatrists, general practitioners, nurses, social workers, school principals, teachers, student counsellors, representatives of local committees, and police officers. The interviews focused on three broad areas: 1) participants' current and past positions and roles; 2) participants' perceptions of the clientele they work with (youth and their families); and 3) participants' understandings of how collaboration takes place within and between services and the community. We conducted inductive applied thematic analyses and then analyzed the interview transcripts of Inuit and non-Inuit participants separately to explore the similarities and differences in perceptions based on positionality. RESULTS: We organized the findings around three themes: I) the most commonly described interventions, II) different types of challenges to and within participation; and III) what successful participation can look like according to service providers. Participants identified the challenges that families face in moving towards services as well as the challenges that services providers face in moving towards youth and families, including personal, organizational and historical factors. CONCLUSION: We adopt a critical lens to reflect on the key findings in order to tease out points of tension and paradoxes that might hinder the participation of youth and families, specifically in a social context of decolonization and self-governance of services.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.282
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.008
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.118
GPT teacher head0.437
Teacher spread0.319 · 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

Citations19
Published2021
Admission routes3
Has abstractyes

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