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Record W2890815710 · doi:10.1386/public.29.57.250_7

CHERYL SIM - YMX: MIGRATION, LAND, AND LOSS AFTER MIRABEL - Immersive Installation as Counter-Archive

2018· article· en· W2890815710 on OpenAlexaboutno aff
Danica Evering

Bibliographic record

VenuePublic · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeDocumentationEmbodied cognitionPoint (geometry)Computer scienceWork (physics)HistoryVisual artsSociologyArtEngineeringLiteratureArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Cheryl Sim’s installation, YMX: Migration, Land, and Loss after Mirabel, took as its starting point two reanimated Solari “split-flap” information displays from departure Gates 46 and 48 at the ill-fated Montreal-Mirabel International Airport. Co-curated by Matt Soar (Professor of Communication Studies) and Danica Evering (MA Media Studies), YMX was an immersive installation that explored complex narratives of displacement and forced migration. Instead of an archive that complies with narrative definition, the embodied experience of an art installation allows for a more willful archive with multiple accounts converging and conflicting through many voices. This text is a reflection on Sim’s work by Evering in five parts—Arrival, Angle, Future, Will, and Departure—which alternates between archival images and documentation of the installation, theoretical and historical analysis of the work in plain text, and tangled interjections in italics.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.242
Teacher spread0.221 · 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
Published2018
Admission routes1
Has abstractyes

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