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Record W4253251783 · doi:10.4324/9780429294358-8

Glyphing decolonial love through urban flash mobbing and Walking with our Sisters

2020· book-chapter· en· W4253251783 on OpenAlex
Karyn Recollet

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsMobbingFlash (photography)PsychologyGeographySocial psychologyArtVisual arts

Abstract

fetched live from OpenAlex

This article contributes to understanding multi-plexed Indigenous resistance through examining spatial tags. As symbolic, moving critiques, spatial tagging intervenes normative structures of settler colonialism and provides the space through which radical decolonial love can emerge. This discussion of the production of spatial glyphs has implications for new ways of thinking about the processes of solidarity building, social activism and the generation of new pedagogical practices of resistance. An analysis of Christi Belcourt’s walking with our sisters commemorative art installation (2013–2019) and the urban flash mob round dance at the intersection of Yonge and Dundas streets in downtown Toronto, reveals how spatial tagging formulates Indigenous acts of creative solidarity. This article contributes to an analysis of Indigenous resistance strategies through focusing on the interstitial passageways as generative sites of knowledge production and possibilities for new ways of being in the world.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.902
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.042
GPT teacher head0.295
Teacher spread0.253 · 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

Quick stats

Citations20
Published2020
Admission routes1
Has abstractyes

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