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Record W4293241075 · doi:10.36939/ir.202204281548

Unheard Voices: Healing Stories of Reclamation and Rebuilding for Families of Missing and Murdered Indigenous Women, Girls, and Two-Spirit people who have not been involved in the National Inquiry

2021· dissertation· en· W4293241075 on OpenAlexaffabout
Tammy Wolfe

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsIndigenousLand reclamationWork (physics)Phase (matter)Indigenous culturePolitical scienceCriminologyGender studiesHistoryPublic relationsSociologyEngineeringArchaeology

Abstract

fetched live from OpenAlex

This work uncovers the stories of relatives who have been impacted by the crisis of Missing and Murdered Indigenous Women, Girls, and Two-Spirit people (MMIWG2S) in Canada, who have not been involved in the National Inquiry into MMIWG2S. Utilizing Indigenous ways of knowing and Indigenous research methodologies in the form of land-based and ceremonial healing during the data collection phase was an integral aspect of this research project. The relatives’ stories focus on the actions of police in regard to the death or disappearance of their missing or murdered loved one, their collective and individual methods of healing, as well as their recommendations for policy change with regard to police actions in the cases of their loved ones. This collection of stories proposes and supports policy change for the families of MMIWG2S, through the reclamation of Indigenous ways of knowing and practicing healing in order to rebuild.

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)0.009
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: Other · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0250.018
Scholarly communication0.0060.005
Open science0.0020.007
Research integrity0.0020.004
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 head0.046
GPT teacher head0.360
Teacher spread0.315 · 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
GenreOther

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
Published2021
Admission routes2
Has abstractyes

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