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Record W3208628404 · doi:10.52214/cice.v23i2.8541

The ARt of Inequality: A Youth Social Justice Exhibition in Augmented Reality

2021· article· en· W3208628404 on OpenAlex
Anisa Bora, Grace Y. Choi, Thomonique Moore, Rongwei Tang, Yiming Zheng

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.

Bibliographic record

VenueCurrent Issues in Comparative Education · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsExhibitionSociologyCurriculumThe artsSocial inequalityAugmented realityInequalityNarrativeSocial realitySocial justiceMedia studiesPublic relationsVisual artsSocial sciencePedagogyPolitical scienceArt

Abstract

fetched live from OpenAlex

The substantive development in the role of augmented reality (AR) technologies in public spaces provides new opportunities for digital arts and arts activism as a means of increasing awareness of critical social issues. However, because of the digital divide and dominant narratives in the museum, there is an existing racial and socioeconomic gap in (digital) art, activism education, and museum curation. In this paper we present a curriculum that aims to empower high-school-aged youth from minoritized backgrounds through art activism in museum spaces via the development and exhibition of augmented reality art pieces that address social justice issues relevant to youth interests and experiences.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.302

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 studies0.0000.000
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 head0.241
GPT teacher head0.421
Teacher spread0.181 · 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