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Record W7054824211

Any one, anyWare: Perceiving sentience and embodiment in a distributed sculpture

2020· other· en· W7054824211 on OpenAlexafffund

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2020
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsUniversity of WaterlooOntario College of Art and Design
FundersCanada Council for the Arts
KeywordsSentienceSculptureInteractivityStructuringThe InternetGesture
DOInot available

Abstract

fetched live from OpenAlex

anyWare is an Internet of Things distributed sculpture comprised of three identical objects that are individually connected to the Internet and physically mirror each other. The anyWare sculptures are art objects that telematically connect three different locations in the world and enable distal physical communication. The objects simultaneously respond to people who interact directly with them, as well as allow them to interact with each other through the sculptures. Structuring these interactions are a number of games and puzzles that people may play or solve, either individually or collaboratively. The objects transform in the experience of exploration, and in so doing reveal different levels of interactivity and aesthetic experience. The mediated sentience of the anyWare sculptures through non-verbal, playful interaction provides a model for envisioning networked communication that circumvents age, cultural, and linguistic differences.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0050.006
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.245
Teacher spread0.209 · 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
Published2020
Admission routes2
Has abstractyes

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