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Record W4223519721 · doi:10.1080/13691058.2022.2055149

Indigenous men’s pathways to ‘living the right kind of life and walking the right path’ post incarceration in Canada: understanding the impacts of systemic oppression, and guidance for healing and (w)holistic sexual health

2022· article· en· W4223519721 on OpenAlexaffabout
Jenny Rand, Carolyn M. Melro, Maya Biderman, L. Jane McMillan, Arthur Dave Miller, Scott Lekas, Matthew Numer

Bibliographic record

VenueCulture Health & Sexuality · 2022
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsAssembly of First NationsUniversity of TorontoSt. Francis Xavier UniversityDalhousie University
Fundersnot available
KeywordsOppressionIndigenousIntervention (counseling)ColonialismPerspective (graphical)Thematic analysisMedicineGender studiesPsychologyGerontologySociologyNursingPolitical scienceQualitative researchLawSocial science

Abstract

fetched live from OpenAlex

Indigenous men around the world hold expertise over their own lives. Informed by this perspective, this study centres this experience to better understand what is needed to improve sexual health outcomes among a group of men with a history of incarceration. Semi-structured interviews were conducted with 10 Indigenous men with such a history. Through thematic analysis the study identified two major themes: 1) the impacts of systemic oppression; 2) the value of guidance in walking the right path. Men identified colonial trauma and the associated mental, physical, emotional and spiritual wounds stemming from systemic oppression as continuing to impact their wellbeing. Men also described the systems of support necessary to help guide them on their journeys through incarceration, rehabilitation and building strong and nurturing relationships. Findings from the study provide important guidance from Indigenous men for future more holistic sexual health intervention programming.

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)0.003
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 score0.066
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.008
Scholarly communication0.0030.001
Open science0.0010.004
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 head0.058
GPT teacher head0.330
Teacher spread0.272 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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