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Record W2945147998 · doi:10.1177/1609406919840547

Spaces & Places: Understanding Sense of Belonging and Cultural Engagement Among Indigenous Youth

2019· article· en· W2945147998 on OpenAlexaffabout
Linda Liebenberg, Darlene Wall, Michele M. Wood, Daphne Hutt‐MacLeod

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2019
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsGovernment of NunavutDalhousie University
Fundersnot available
KeywordsPhotovoiceParticipatory action researchIndigenousPsychological resilienceCommunity resilienceSociologyCommunity engagementPositive Youth DevelopmentYouth studiesSocial psychologyPublic relationsResource (disambiguation)PsychologyPolitical scienceGender studiesEconomic growthEcologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Indigenous youth continue to live with a socioeconomic and political legacy of colonization and marginalization, confronted by environments harmful to their psychosocial development. Resource strained communities may compound these experiences and outcomes for many youth. Increasingly, research points to the mitigating effects of resilience for youth exposed to contextual risks. Resilience is however dependent on both personal capacities and the availability of relevant resources within families, schools, and communities. Meaningful connection to community together with cultural continuity are important contributors to resilience. However, without critical examination of the conditions that support such youth engagement, attempts at fostering these connections may be largely unsuccessful. Spaces & Places explored the cultural continuity and civic engagement of Indigenous youth living in three communities of Atlantic Canada. Using an interactive, transactional theory of resilience, we explored how youth interact with community resources, and how these interactions impact connections with their community and culture. Participatory qualitative image-based methods were used to explore the availability of spaces and how they establish a sense of belonging to community and culture for youth. We used video capture of a day-in-the-life of participants with photo elicitation in reflective interviews, within a Participatory Action Research framework. Youth and community partners actively participated in the research process, including data analysis and knowledge mobilisation.

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.552
GPT teacher head0.633
Teacher spread0.081 · 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 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

Citations25
Published2019
Admission routes2
Has abstractyes

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