MétaCan
Menu
Back to cohort
Record W3162507255 · doi:10.7202/1082012ar

Toppled Monuments and Black Lives Matter: Race, Gender, and Decolonization in the Public Space. An Interview with Charmaine A. Nelson

2021· article· en· W3162507255 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAtlantis Critical Studies in Gender Culture & Social Justice · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsConcordia University
Fundersnot available
KeywordsRacismInjusticeColonialismGender studiesPower (physics)Police brutalityIndigenousPublic sphereSociologyDecolonizationPolitical scienceMedia studiesHistoryCriminologyLawPolitics

Abstract

fetched live from OpenAlex

This paper discusses the recent backlash against public monuments spurred by Black Lives Matter (BLM) protests in North America and elsewhere following the killing by police of George Floyd, an unarmed African-American man in the United States. Since this event, protestors have taken to the streets to bring attention to police brutality, systemic racism, and racial injustice faced by Black and Indigenous people and people of colour in the United States, Canada, Great Britain and some European countries. In many of these protests, outraged citizens have torn down, toppled, or defaced monuments of well-known historic figures associated with colonialism, slavery, racism, and imperialism. Protestors have been demanding the removal of statues and monuments that symbolize slavery, colonial power, and systemic and historical racism. What makes these monuments problematic and what drives these deliberate and spectacular acts of defiance against these omnipresent monuments? Featuring an interview with art historian Charmaine A. Nelson, this article explores the meanings of these forceful, decolonial articulations at this moment. The interview addresses some complex questions related to monumentalization and the public sphere, symbolism and racial in/justice. In so doing, it suggests that monuments of the future need to be reimagined and redefined contemporaneously with shifting social knowledge and generational change.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.570

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.114
GPT teacher head0.359
Teacher spread0.245 · 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