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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 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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.008
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.001

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 head0.022
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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