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Record W2908296782

Where They Meet: Indigenous Activism and City Planning in Winnipeg, Manitoba

2017· dissertation· en· W2908296782 on OpenAlexaboutno aff
Jason Syvixay

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyPolitical scienceEnvironmental planningPublic administration
DOInot available

Abstract

fetched live from OpenAlex

In Winnipeg, Indigenous activists are finding and/or creating new opportunities to meet in public space to discuss civic issues like safety, inclusion, and the right to land. Through physical resistance (i.e. Indigenous activists occupying public space through blockades, protest, and public demonstrations), Indigenous activists have begun to make known their varying political, economic, and social struggles — and in many cases, are rallying both public and media support to affect and create neighbourhood change. This practicum will explore Indigenous activism, leading to lessons for planners and others. Instead of maintaining a critical distance from these demonstrations, which can often create feelings of alienation within the Indigenous community, I assert that planners and others can view these public actions as offering opportunities for feedback, dialogue, and change. Through a case study of Meet Me At The Bell Tower, I hope to demonstrate how Indigenous activism in public spaces may represent an important bottom-up, community-based approach to public engagement.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.039
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0260.007
Scholarly communication0.0040.001
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)Same topicIndigenous Health, Education, and RightsFrench-language works237,207