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Record W7016056783

The Voice From North Point Douglas: Spatial Justice, Embodied Dispossession and Resistance in Winnipeg

2018· dissertation· en· W7016056783 on OpenAlexafffundabout

Bibliographic record

VenueMspace (University of Manitoba) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of South Carolina
KeywordsPhotovoiceParticipatory action researchResistance (ecology)IndigenousCitizen journalismEconomic JusticeSpace (punctuation)ColonialismAction (physics)Public space
DOInot available

Abstract

fetched live from OpenAlex

This thesis is a participatory action research project using the photovoice method to examine women’s perceptions of safety and ideas for positive community development in Winnipeg’s urban core. I work with women who frequent the North Point Douglas Women’s Centre to create a platform for participants to raise safety concerns and to actively participate in mapping unsafe space in the city. I combine emerging analytical frameworks in feminist geography, critical race theory, and spatial justice to create an intersectional-spatial framework to interrogate the production of unsafe space and the perpetuation of colonial gendered violence in Winnipeg. Together with the women, we produced an arts-based public exhibit on safety, community concerns and strengths – The Voice from North Point Douglas. Most importantly, my research investigates women’s grounded community activism and Indigenous resistance as a form of spatial justice in the colonial city.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.121
GPT teacher head0.425
Teacher spread0.305 · 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.

Study designObservational
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

Citations2
Published2018
Admission routes3
Has abstractyes

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