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Record W4296499970 · doi:10.1386/tear_00065_1

Nest-works

2021· article· en· W4296499970 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.

Bibliographic record

VenueTechnoetic Arts · 2021
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsNest (protein structural motif)Nest boxFledgeSession (web analytics)Visual artsArchitectural engineeringEcologyComputer scienceArtEngineeringBiologyWorld Wide Web

Abstract

fetched live from OpenAlex

Two years ago, a nest box outside my window held a pair of Violet-Green Swallow. I counted six swallows fledge from the box and take their first flights in the July rain. Leaving the roof of the nest box, they flew in little loops out over the water, trying out their wings. I watched them from the dock, their bodies suspended in the air between the raindrops. This experience was the inspiration for what I call ‘nest-works’ – for poetic wilding of all-too-human spaces. Nest-works began with an experimental panel for the 2021 College Art Association Conference , called ‘Co-Making this World’. The experimental session was modelled after the nest of a bird, a Black-Capped Chickadee. As this cavity-nester builds a home of disparate materials, the panel of artist-researchers built a session of disparate theories and practices, as we considered relationships with world-systems that are in the process of making (such as the nest of the chickadee). For Technoetic Arts , we weave a new nest-work of research material, as we consider new models for knowledge and creative production. This nest-work is an entanglement of short essays made by artists working with a common pattern, framing eco-poetics on collaborative and participatory processes with the non-human/more-than-human.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.655

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.272
Teacher spread0.251 · 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