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Record W3200933659 · doi:10.1162/octo_a_00434

Angelica Mesiti's World Citizens

2021· article· en· W3200933659 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.

Bibliographic record

VenueOctober · 2021
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Philosophy
Canadian institutionsASTER
Fundersnot available
KeywordsConversationExhibitionSkepticismIsolation (microbiology)SociologySpeech communityImmigrationHuman communicationLinguisticsAestheticsMedia studiesHistoryArtVisual artsEpistemologyCommunicationPhilosophy

Abstract

fetched live from OpenAlex

Abstract In this essay, I review a 2019 exhibition at the Palais de Tokyo entitled When Saying Is Doing, which featured work by Angelica Mesiti, a contemporary Australian artist who works on questions of performance, immigration, and non-verbal communication in multi-screen moving image installations. On the contemporary global stage, if we do not share the same linguistic community or communities, how is human interrelatedness expressed through other forms of ordinary language, where “language” is now considered not as speech but rather as human expressiveness in its most diverse and complex manifestations? What happens when shared language is neither “speech” nor conversation in the linguistic sense? Needed here is a newly imagined vision of the communicability of human community that I refer to as “neighboring.” Putting Mesiti's work in productive dialogue with Stanley Cavell and other critics, I examine how skeptical problems of isolation, privacy, and unknownness are potentially addressed and responded to in contemporary art.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.826

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)0.0000.001

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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