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Record W4383652398 · doi:10.1145/3563703.3596637

Co-shaping Temporality: Mediating Time through an Interactive Hourglass

2023· article· en· W4383652398 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

VenueDesigning Interactive Systems Conference · 2023
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTemporalityHourglassDisconnectionComputer scienceMediationConstruct (python library)Cognitive reframingArtifact (error)PerceptionAccelerationSketchHuman–computer interactionCognitive sciencePsychologySociologyArtificial intelligenceSocial psychologyEpistemology

Abstract

fetched live from OpenAlex

With the constant development of new and fast-paced technologies, there can be a disconnection between our perception of time and the actualization of time. Current technologies mediate and monetize the construct of time which is constantly enforced upon us as experiences of acceleration, productivity, and linear progression as its dominant purpose. This design research takes a postphenomenological view by exploring the mediation of time through the speculative design of an interactive hourglass. The work investigates through the hourglass the possibility of co-shaping temporality and possible reframing of the perceived standards of time. This investigation is intended to help understand potential multiplicities in the mediation of time while also exploring other possible human-artifact-world relations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.008
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.115
GPT teacher head0.358
Teacher spread0.243 · 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