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Record W2267722861 · doi:10.1177/0020764015584648

Surviving, healing and moving forward: Journeys towards resilience among Canadian Cree adults

2015· article· en· W2267722861 on OpenAlexafffundabout
Corinne Isaak, Donna E. Stewart, Natalie Mota, Garry Munro, Laurence Y. Katz, Jitender Sareen

Bibliographic record

VenueInternational Journal of Social Psychiatry · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsCree Board of Health and Social Services of James BayUniversity of TorontoUniversity Health NetworkUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsPsychological resilienceGrounded theoryMental healthResilience (materials science)Qualitative researchPsychologyGerontologyMedicineSocial psychologySociologyPsychotherapistSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Canadian First Nations (FN) people have experienced and continue to experience significant adversities, yet many demonstrate aspects of resilience. AIM: The aim of this qualitative study was to specifically understand Cree adults' meanings and mechanisms of resilience following maltreatment. METHODS: Ten Cree adults were interviewed individually. Modified grounded theory was used to interpret the transcribed interviews. RESULTS: Participants discussed resilience as a journey of 'survival' and 'overcoming' and pathways to healing that were multifactorial and included traditional teachings. CONCLUSION: Mental health providers should consider and incorporate these mechanisms into treatment for Cree people, when appropriate, to aid recovery.

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)0.004
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 score0.081
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.007
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.015
GPT teacher head0.321
Teacher spread0.306 · 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

Citations20
Published2015
Admission routes3
Has abstractyes

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Same venueInternational Journal of Social PsychiatrySame topicIndigenous Health, Education, and RightsFrench-language works237,207