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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 OpenAlexaffabout
Jennifer Willet

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.

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)0.006
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0210.014
Scholarly communication0.0130.008
Open science0.0030.021
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0600.012

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

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

Citations1
Published2019
Admission routes2
Has abstractyes

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