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Record W4381510977 · doi:10.1080/02723638.2023.2217619

When monuments fall: anticolonial disruptions and decolonial urban practices (2022) Plenary Commentary

2023· article· en· W4381510977 on OpenAlexaffabout
Margaret Marietta Ramírez, Tsatia Adzich

Bibliographic record

VenueUrban Geography · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsInnocenceColonialismIndigenousCollective memoryWhite (mutation)Cultural memoryContext (archaeology)IdeologyPoliticsSociologyHistoryGender studiesPolitical scienceLawAnthropologyArchaeology

Abstract

fetched live from OpenAlex

In this commentary on Laura Pulido’s plenary, “Cultural Memory, White Innocence, and United States Territory”, we reflect on the significance of colonial monuments and their toppling in the Canadian context. Thinking through the 2022 toppling of the John “Gassy Jack” Deighton monument, we consider how this act disrupts the settler colonial city and spatial and ideological manifestations of cultural memory. Reading settler texts on Deighton’s “founding” of the Gastown neighborhood through a feminist and anticolonial lens, we insist that the monument erased gendered histories of Indigenous genocide and upheld a particular cultural memory of white settler innocence. Engaging with Squamish cultural memory and the poetry of Toyts-ten-aat Cease Wyss, we consider what it would mean to center decolonial spatial practices and Squamish geographies. Lastly, we explore the complicated politics surrounding the toppling of the Gassy Jack statue, torn down without Squamish consultation, revealing distinctions between anticolonial and decolonial spatial 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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.641
Threshold uncertainty score0.723

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.021
Scholarly communication0.0070.004
Open science0.0020.004
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0080.001

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 head0.309
Teacher spread0.288 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2023
Admission routes2
Has abstractyes

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