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Record W2963686402 · doi:10.1386/public.30.59.46_1

INCUBATOR Lab: Where Artists Collaborate with Life

2019· article· en· W2963686402 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePublic · 2019
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsIncubatorLiving labStorytellingThe artsVisual artsPerforming artsWebcastSociologyMultimediaArtComputer scienceWorld Wide WebNarrative

Abstract

fetched live from OpenAlex

This article presents the research philosophies, artworks, and practices of INCUBATOR Lab, a bioart research and teaching facility at the School of Creative Arts, University of Windsor, Canada. Research/creation projects produced range from microbial artworks, interspecies performances, social practice projects, and textual analysis, to artworks that can only be seen with a microscope. The facility provides innovations in public engagement through (1) making daily bioart laboratory activities visible to online and local audiences; (2) serving as a gallery where artworks that are unable to leave the BSL2 laboratory setting can be safely displayed for audiences; and (3) providing a multimedia performing arts venue where seated audiences can view theatre and performance events that integrate BSL2 biotechnologies into multimedia storytelling and performance genres. INCUBATOR Lab is an institutional space, an artwork, an ecology, and a biosphere where human and non-human organisms collaboratively and co-dependently produce bioart research and creation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0560.020

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 head0.037
GPT teacher head0.328
Teacher spread0.291 · 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