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Record W2941412535 · doi:10.1145/3290605.3300546

"Collective Wisdom"

2019· article· en· W2941412535 on OpenAlex
Jo Shin, G Sepúlveda, William Odom

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEthnographyAgency (philosophy)Collective memorySociologyWork (physics)Space (punctuation)Focus (optics)Public relationsEpistemologyKnowledge managementComputer sciencePolitical scienceSocial scienceEngineeringAnthropologyLaw

Abstract

fetched live from OpenAlex

The home has been a major focus of the HCI community for over two decades. Despite this body of research, nascent works have argued that HCI's characterization of 'the home' remains narrow and requires more diverse accounts of domestic configurations. Our work contributes to this area through a four-month ethnography of three collective homes in Vancouver, Canada. Collective homes represent an alternative housing model that offers agency to individual members and the collective group by sharing values, resources, labour, space and memory. Our paper offers two contributions. First, we offer an in-depth design ethnography of three collective homes, attending to the values, ownership models, practices, and everyday interactions observed in the ongoing making of these domestic settings. Second, we interpret and synthesize our findings to provide new opportunities for expanding the way we conceptualize and design for 'the home' in HCI.

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 categoriesInsufficient payload (model declined to judge)
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 score0.774
Threshold uncertainty score0.998

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)0.0000.003

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 head0.010
GPT teacher head0.243
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

Quick stats

Citations15
Published2019
Admission routes2
Has abstractyes

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