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Record W3012854588 · doi:10.28984/drhj.v3i0.303

Indigenous Fathering and Wellbeing: Kinship and Decolonial Approaches to Health Research

2020· article· en· W3012854588 on OpenAlexaffvenueabout
Laura Hall, Tanya Shute, Parveen Nangia, Mikaela Parr, Phyllis Montgomery, Sharolyn Mossey

Bibliographic record

VenueDiversity of Research in Health Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsLaurentian University
Fundersnot available
KeywordsIndigenousKinshipMetisClanColonialismSociologyGender studiesPsychologyGeographyAnthropologyEcologyBiology

Abstract

fetched live from OpenAlex

In the past decade, Canadian statistics indicate that fathering nurtures family wellbeing which ultimately fosters community growth. The wellbeing of Indigenous men, shaped by determinants of health and culture-based perspectives, is challenged by ongoing settler colonialism. In particular to Indigenous men living with children in their homes, less is known about their strengths as nurturers. For the purpose of this study, based on Indigenist, decolonizing theories, 'father' is not conceived as the head of household. An alternative to the heteropatriarchal model is the kinship orientation of Indigenous fathering and as such, father refers to uncle, grandfather, traditional Clan leader, adoptive parent, and so on. This study's secondary quantitative analysis compared health and social characteristics of three cohorts of Indigenous adult men who identify as residing with children. Based on an extracted subset of variables from the 2012 Aboriginal Peoples Survey, results showed many significance comparisons among First Nations, Metis and Inuit men. Across health and social domains, multiple and decolonial supports are needed for Indigenous fathering to flourish.

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)0.030
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.541
GPT teacher head0.468
Teacher spread0.073 · 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

Citations1
Published2020
Admission routes3
Has abstractyes

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