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Record W4404920157 · doi:10.7202/1114559ar

Understanding the violence and help-seeking experiences of Mi’gmaq women: Qualitative and applied results from a partnered study in the community of Listuguj

2024· article· en· W4404920157 on OpenAlexaffvenueabout
Marie‐Catherine Gagnon‐Dufresne, Danielle Pelland, Sheila Swasson, Mitchell Isaac, Isabelle Paillé, Mélisande Dorion-Laurendeau, Marie‐Marthe Cousineau

Bibliographic record

VenueAlterstice Revue internationale de la recherche interculturelle · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsRegroupement des Maisons pour Femmes Victimes de Violence ConjugaleUniversité du Québec en OutaouaisFédération des Maisons D'Hébergement pour FemmesUniversité de Montréal
Fundersnot available
KeywordsQualitative researchPsychologySociologySocial science

Abstract

fetched live from OpenAlex

Indigenous women and girls in Canada are at increased risk of experiencing any type of violence throughout their lives. This pressing public health issue is receiving growing attention as Indigenous communities and others across the country and internationally continue to demand respect for Indigenous women’s human rights to health, safety, and justice. To support their claims, we conducted a five-year partnered study with Indigenous and non-Indigenous non-governmental organizations in the Mi’gmaq community of Listuguj, in the province of Québec. Our objective was to better understand the violence and help-seeking experiences of women from Listuguj, and to initiate actions to improve services offered to Mi’gmaq violence survivors. Based on interviews with violence survivors and workshops with service providers, we created an intervention tool to increase the collaboration among service providers in Listuguj in their actions against violence. This study, the first to focus on the services sought by Mi’gmaq women in Québec, presents another account of the interrelations between interpersonal and structural violence in the lives of Indigenous women. Its partnered approach led to applied results that can be used by Indigenous partners to better meet the needs of violence survivors and their families in their community.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.393
GPT teacher head0.445
Teacher spread0.052 · 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.

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
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueAlterstice Revue internationale de la recherche interculturelleSame topicSouth Asian Studies and ConflictsFrench-language works237,207