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Record W3004902121 · doi:10.1145/3374920.3375004

Encasing Computation

2020· article· en· W3004902121 on OpenAlexaff
Kate Hartman, Chris Luginbuhl, Yiyi Shao, Ricardo Toller Correia

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsMicrocontrollerWearable computerComputer scienceContext (archaeology)Wearable technologyBridge (graph theory)ElectronicsEmbedded systemEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

This paper introduces initial attempts to bridge the worlds of digital fabrication and do-it-yourself wearable electronics. It introduces a selection of microcontrollers that are anticipated to work well in a wearable context and provides an overview of five prototypes: Folding Felt Photon, Photon Sleepers, Circuit Playground Aurora Hat, Feather Belt, and Feather Shoes. These prototypes use laser cutting and/or 3D printing to produce microcontroller enclosures that can be worn on the body. Rigid and flexible materials are used alone and in combination to achieve qualities such as conformability, comfort, and device protection. Digital fabrication techniques facilitate rapid and repeatable production of prototypes for testing while allowing precise modification of fit, material thickness and machine settings. The intent is to demonstrate this approach and to share initial designs for digitally fabricated encasements that allow researchers, designers, and artists to better integrate small computational systems into clothing or other wearables.

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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.265
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations5
Published2020
Admission routes1
Has abstractyes

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