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Record W2735418005

It’s the little things that matter:A ready-to-assemble SMARTKIT to help people organize consumables at home by hacking furnishings through a do-it-yourself approach

2017· dissertation· en· W2735418005 on OpenAlex
Ding Ling

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

VenueOCAD University Open Research Repository (OCAD University) · 2017
Typedissertation
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsHackerContext (archaeology)ConsumablesDemocratizationDemocracyInternet privacyEngineeringComputer scienceBusinessComputer securityMarketingPolitical sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

Democratization is broadly applied in material design and technology innovation, but little is known about democratic design in the digital context. Inspired by the practice of enchanted objects, this paper applies user-centered design as the primary research methodology to investigate what kind of democratic digital solutions might help Millennial-aged consumers streamline their home routines. SMARTKIT is a hacking toolkit created to allow individuals with little hacking ability to enchant the ordinary functionality of home furnishings and endow them with new capabilities which provide personal and social services that monitor and manage home consumables. By adding easy and affordable DIY enchantment, the democratically-designed SMARTKIT will help empower users to design the future of their homes in an accessible and affordable way that fulfills the unique requirements of each user. 
\nSMARTKIT makes the little things matter.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0080.001
Scholarly communication0.0030.006
Open science0.0130.004
Research integrity0.0010.003
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 head0.069
GPT teacher head0.323
Teacher spread0.254 · 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