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Record W7132899169

Indigenous Resurgence in Colonial Urban Parks: Possibilities and Potential for Urban Indigenous Land-based Practices

2022· dissertation· W7132899169 on OpenAlexaboutno aff
Katherine Yee

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismSustainabilityUrban planningUrbanizationInclusion (mineral)Traditional knowledge
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an exploration of colonial dispossession within cities and specifically urban parks recognizing all parks in so-called Canada exist on the traditional territories of Indigenous peoples. Within this thesis I utilize mixed methods, first conceptual analysis is used to discuss the structural-materialist emergence of urban parks as colonial spaces. Secondly, drawing from my own embodied experience earthworking with Two-Spirit Indigiqueer community in High Park, Tkaronto, I engage with land-based theoretical frameworks including land as pedagogy, kincentric ecologies, and reciprocal restoration to story ongoing Indigenous resurgence and futurities. This research considers the colonization of urban parks, and the possibilities and need for improved access for urban Indigenous peoples to engage in land-based practices. I argue, Indigenous inclusion within urban parks, at various levels, is required for the future ecological sustainability of parks and to create safe and accessible spaces for urban Indigenous peoples to enact land-based cultural practices.

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)0.002
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 score0.942
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.029
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.371
Teacher spread0.352 · 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
Published2022
Admission routes1
Has abstractyes

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