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Record W2218597998 · doi:10.18357/ijih.102201515113

Understanding the intergenerational effects of colonization: Aboriginal women with neurological conditions—their reality and resilience

2015· article· en· W2218597998 on OpenAlexafffundvenueabout
Carrie Bourassa, Melissa Blind, Devin Dietrich, Eric Oleson

Bibliographic record

VenueInternational Journal of Indigenous Health · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsLaurentian UniversityFirst Nations University of Canada
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsIndigenousAgency (philosophy)Qualitative researchPopulationFocus groupHealth careNarrativePsychological resilienceNursingPsychologyMental healthPublic relationsSociologyMedicinePolitical scienceSocial psychologyPsychiatrySocial scienceEnvironmental health

Abstract

fetched live from OpenAlex

The “Understanding from Within” (UFW) project was part of the National Health Population Study of Neurological Conditions (NHPSNC), a 4-year study aimed at better understanding the scope of neurological conditions in Canada, and funded by the Public Health Agency of Canada. The goal of the UFW project was to develop a better understanding of how Aboriginal people conceptualize neurological conditions and the impacts on their families and communities, and the resources and supports needed to provide culturally safe and appropriate care. The research was qualitative and used an Indigenous Research Methodologies (IRM) approach to guide the design, collection of data, and analysis. Two methods were used to collect information: in-depth interviews and research circles (focus groups). A total of 80 people participated in the research, 69 women and 11 men. In-depth interviews were undertaken with key informants (22), with Aboriginal people living with a neurological condition (18), and with Aboriginal people caring for someone with a neurological condition (40). This paper examines the physical, mental, emotional, and spiritual impacts of neurological conditions on Aboriginal people, primarily women. It also examines other themes that emerged from the narratives, including recommendations to healthcare providers and cross-cutting themes that are relevant to culturally safe care and how it relates to neurological conditions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.041
GPT teacher head0.353
Teacher spread0.312 · 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.

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

Citations15
Published2015
Admission routes4
Has abstractyes

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