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Record W4307041594 · doi:10.1162/leon_a_02318

Diffractive Rendezvous

2022· article· en· W4307041594 on OpenAlexaffabout
Gisèle Trudel, Nina Czeglédy

Bibliographic record

VenueLeonardo · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsOntario College of Art and DesignUniversité du Québec à Montréal
Fundersnot available
KeywordsDocumentationRendezvousWord (group theory)Computer scienceLinguisticsThrough-the-lens meteringHistoryVisual artsLens (geology)ArtOpticsEngineeringPhilosophyPhysics

Abstract

fetched live from OpenAlex

Abstract This article is an open-ended discussion of five events from the LASER series hosted at Hexagram in Montreal, Quebec, Canada, between 2014 and 2021. LASERs at Hexagram interweave the research-creations of its members in dialogue with local and international guests. Emerging from the audio-to-text transcriptions of previous documentation of these LASERs, the word “movement” becomes a novel lens of analysis for this text, according to a “diffractive” approach. Thoughts and actions afforded by this word produce a surprisingly gentle yet compelling interdisciplinary weave, to inspire future editions.

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)0.006
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: Other
Teacher disagreement score0.047
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.005
Scholarly communication0.0050.004
Open science0.0020.011
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0470.007

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 head0.040
GPT teacher head0.215
Teacher spread0.175 · 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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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