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Record W2959939520 · doi:10.1515/opphil-2019-0016

How Public is Public Art? A Critical Discourse Analysis of the Racial Subtext of Public Monuments at Canada’s Pier 21

2019· article· en· W2959939520 on OpenAlexaffabout
Patience Adamu, Deon Castello, Wendy Cukier

Bibliographic record

VenueOpen Philosophy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSubtextPublic spaceContext (archaeology)AppealInclusion (mineral)MulticulturalismSociologySituatedGender studiesWhite (mutation)AestheticsPolitical scienceMedia studiesHistoryArtLawArchaeologyLiterature

Abstract

fetched live from OpenAlex

Abstract Much of the literature on public space focuses on physical inclusion and exclusion rather than social inclusion or exclusion. In this paper, the implications of this are considered in the context of two monuments, The Volunteers/Les Bénévoles , and The Emigrant , located outside the Canadian Museum of Immigration at Pier 21 in Halifax, Nova Scotia. These monuments, while perhaps designed to celebrate Canadian multiculturalism, can be read instead as signaling Canada’s enduring commitment to white supremacy, Eurocentricity and colonization, when viewed through the eyes of racialized immigrants. Thus the “public space” becomes exclusionary. In the context in which the monuments are situated, the racial subtext cannot be ignored. This article purports that images, text and placement, regardless of intention, have significant implications on public space and public demeanor.

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)0.012
metaresearch head score (Gemma)0.013
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 score0.143
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0640.089
Scholarly communication0.0290.008
Open science0.0030.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0050.000

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 head0.062
GPT teacher head0.341
Teacher spread0.279 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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