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Record W3092374676 · doi:10.1002/jcop.22455

Indigenous and non‐Indigenous parents separated from their children and experiencing homelessness and mental illness in Canada

2020· article· en· W3092374676 on OpenAlexafffundabout
Rachel Caplan, Geoffrey Nelson, Jino Distasio, Corinne Isaak, Betty Edel, Myra Piat, Eric Macnaughton, Maritt Kirst, Michelle Patterson, Tim Aubry, Susan Mulligan, Paula Goering

Bibliographic record

VenueJournal of Community Psychology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsCentre for Addiction and Mental HealthSimon Fraser UniversityUniversity of TorontoUniversity of WinnipegMcGill UniversityDouglas Mental Health University InstituteUniversity of OttawaWilfrid Laurier University
FundersHealth Canada
KeywordsIndigenousHistorical traumaThematic analysisMental illnessMental healthNarrativeRacismPsychologyIdentity (music)Intervention (counseling)DisconnectionGender studiesQualitative researchDevelopmental psychologySociologyPsychiatryPsychotherapistPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the parent-child experiences of Indigenous and non-Indigenous mothers and fathers experiencing homelessness, mental illness, and separation from their children. A qualitative thematic analysis of baseline and 18-month follow-up narrative interviews was used to compare 12 mothers (n = 8 Indigenous and n = 4 nonindigenous) with 24 fathers (n = 13 Indigenous and n = 11 non-Indigenous). First, it was found that children are more central in the lives of mothers than fathers. Second, Indigenous parents' narratives were characterized by interpersonal and systemic violence, racism and trauma, and cultural disconnection, but also more cultural healing resources. Third, an intersectional analysis showed that children were peripheral in the lives of non-Indigenous fathers, and most central to the identities of Indigenous mothers. Gender identity, Indigenous, and intersectional theories are used to interpret the findings. Implications for future theory, research, and culturally relevant intervention are discussed.

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)0.001
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 score0.030
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.377
Teacher spread0.337 · 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

Citations7
Published2020
Admission routes3
Has abstractyes

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