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Record W7140284018 · doi:10.3138/jcs-2024-0034

Applied Ethics of Public Art: Reflexivity, Social Support Structures, and Anti-Colonial Obligations

2025· article· fr· W7140284018 on OpenAlexaffvenueabout
Lois Klassen

Bibliographic record

VenueJournal of Canadian Studies · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsReflexivityAcknowledgementMeta-ethicsInformation ethicsApplied ethicsNormativeSituatedNursing ethics

Abstract

fetched live from OpenAlex

In this article, the author examines applied ethics of public art in action, highlighting how using applied ethics in public art calls on critical reflexivity, ethical approaches learned from social art and access-focused practices, other community-responsive frameworks, and anticolonial obligations. Challenging normative and market-driven ethical standards, this analysis foregrounds applied ethics as an active, inclusive, and dialogue-driven process, shaped by lived experiences and critical standpoints. Drawing examples from contemporary Canadian contexts, including artists’ practices and the “Research 101” manifesto, the author emphasizes the importance of positionality, social support structures, and acknowledgement of institutional histories in ethical decision-making. This text also includes an examination of the impact of research ethics review processes on artists’ approaches and practices. It offers a critical summary of the history leading to institutionalized ethical frameworks and tools and their applications today. In gathering together these practice examples and histories, the author recognizes an applied ethics of public art in Canada as a living process characterized by reflexive awareness of positionality, recognition of inherent support structures (such as kinship and social networks), awareness of institutional and rights-based ethics histories, recognition of community demands for situated ethics, and the need to meet anti-colonial obligations.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
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 head0.167
GPT teacher head0.372
Teacher spread0.206 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2025
Admission routes3
Has abstractyes

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