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Record W3176623081

Exploring Resilience and Mental Health Among Canadian Inuit Youth: Understanding Wellness and Piloting a Prevention Program

2020· dissertation· en· W3176623081 on OpenAlexaboutno aff
Leah Litwin

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthResilience (materials science)Psychological resiliencePsychologyGerontologyApplied psychologyMedicinePsychiatryPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Canadian Inuit youth in Nunavut struggle with higher rates of depression and suicide in comparison to youth in other parts of the world, yet accessible mental health services are lacking in the territory. The current project was comprised of three studies. Study 1 examined the accessibility and effectiveness of an e-intervention program, SPARX. SPARX was developed in New Zealand in collaboration with Mori communities, with the goal of supporting Mori Indigenous youth in decreasing symptoms of depression and boosting resilience. A modified randomized control trial was used to evaluate the effectiveness of SPARX in Nunavut with 49 Canadian Inuit youth across 11 communities. Outcome measures assessing: 1) symptoms of depression; 2) symptoms of hopelessness; 3) cognitive emotion regulation strategies; and 4) resilience were assessed. T-test and Anova statistics suggested that participating Canadian Inuit youth experienced less hopelessness and enhanced cognitive emotion regulation strategies after engaging in SPARX. No statistical changes in depression or resilience were noted. Study 2 used focus groups to gain a qualitative understanding of Canadian Inuit youths experience with SPARX. Youth from Study 1 participated in the Study 2 focus groups. Focus groups were recorded and transcribed, and coded using inductive thematic analysis. Results suggested that youth found the intervention engaging and interactive, and though it aligned well with youth culture, there was a reported desire for a more culturally appropriate version of SPARX. Study 3 used focus groups, across four communities in Nunavut, to delve deeper into the understanding of mental health and mental illness among Canadian Inuit youth. Youth and Elders in four communities were recruited to participate in these focus groups. Focus groups were recorded and transcribed, and coded using inductive thematic analysis. By engaging Elders in conversations about Canadian Inuit history, traditions and current barriers to accessing mental health programs, youth were able to explore what wellness means, and how they believe they can better support their own, as well as their communitys wellness. Results suggest that youth and Elders alike desire a return to cultural roots in order to build capacity and harness wellness, as well as a need for more intergenerational communication between Elders and youth. Overall, the three studies comprising this project support the need for further understanding of mental health programming desired by Canadian Inuit communities. It will be important to harness the Canadian Inuit culture, and to create family and community-based programming to help support youth with their mental health needs. Breaking down stigma associated with accessing mental health support will be an important advancement for the promotion of wellness in Canadian Inuit communities.

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)0.002
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 score0.048
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.232
Teacher spread0.180 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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