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Record W4409737120 · doi:10.55016/ojs/jisd.v13i2.79168

'My You're a Great Man': A Wâkôhtowin Exploration of the Changing Indigenous Masculinity

2025· article· en· W4409737120 on OpenAlexaffabout
Moss E. Norman, Michael Hart, LeAnne Petherick, Cynthia Sinclair

Bibliographic record

VenueJournal of indigenous social development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsMasculinityIndigenousGender studiesSociologyPsychologyHistory

Abstract

fetched live from OpenAlex

When it comes to examining Indigenous boys, men, and masculinities, much of the research remains theoretical in nature, with few scholarly explorations of how diverse, place-specific Indigenous nations engage in processes of recuperating and sustaining the Indigenous values, roles, and responsibilities of boys and men. In this paper, we present research emerging from a five-year “community-first Land centred” project with Ochêkwi-Sîpî (Fisher River Cree Nation), which is located in the territory today known as ‘Canada’. The findings in this paper foreground the stories of eighteen Elders that were gathered through sharing circles and intergenerational interviews. The findings are analyzed using a relational ontology, and more specifically the Cree concept of wâkôhtowin (being related). In so doing, we were able to see how an ethic of relational accountability to self, community, nation, and more-than-human relations was woven through the stories of the Elders, as they envisioned what Cree masculinities could be.

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)0.004
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 score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.020
Scholarly communication0.0040.006
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.288
Teacher spread0.263 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

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