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Record W4399531165 · doi:10.1080/13691058.2024.2346532

Indigenous research methods for healing sexual trauma with Cree women

2024· article· en· W4399531165 on OpenAlexaff
Josie C. Auger, Janelle Baker, Lorraine Cardinal, Angela James, Melissa Jay, Sharon Loonskin

Bibliographic record

VenueCulture Health & Sexuality · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsAthabasca University
Fundersnot available
KeywordsIndigenousPsychologyMedicineBiologyEcology

Abstract

fetched live from OpenAlex

In this study, exploratory research on self-determination using Indigenous research methods provided a model to help heal trauma and discuss recovery for traumatic sexual experiences. The methods and healing were based on a Cree worldview. Informed consent and questions were developed by the principal investigator prior to the research commencing. Eleven co-creators had the opportunity to revise questions, discuss the research, speak the Cree language, and participate in one-to-one interviews, group meetings and ceremonies. They also had the chance to review the transcripts and approve/disapprove the content, provide guidance on sacred knowledge and suggest terms to use, and co-author the paper, if they chose and three did. A Cree concept was developed from the work, namely, nehiyaw isecikewena which involved promoting self-determination and sovereignty alongside recovery.

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)0.073
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0730.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0090.011
Scholarly communication0.0050.006
Open science0.0030.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.159
GPT teacher head0.551
Teacher spread0.392 · 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.

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
Published2024
Admission routes1
Has abstractyes

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