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Record W2923197779

Mean time: seven ways to look at time through mobility

2018· article· en· W2923197779 on OpenAlex
Cidália Ferreira Silva

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRepositóriUM (Universidade do Minho) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpace timeContingencyPremiseTime spaceTime travelTime budgetSpacetimeExhibitionTravel timeTime perceptionSociologyTime managementDiscrete time and continuous timeVisual artsComputer scienceArtEpistemologyArtificial intelligenceMathematicsEngineeringStatisticsPhilosophyPerceptionTransport engineering
DOInot available

Abstract

fetched live from OpenAlex

This paper’s idea was triggered by the exhibition “Cedric Price: Mean Time,” presented at the Canadian Centre for Architecture in Montréal. Starting with the premise that mobility is a contingent (Till, 2009) act, this text looks at the different time(s) created by this contingency. The seven time(s) here considered are: Suspending Time, Free Time, Expanding Time, Distorting time, Folded Time, Loosing time, and Living time. Through specific “spatial stories” (de Certeau, 2002) each time is explained, in their features, unfolding how time-mobility shapes the way we create different appropriations of space, transmuting not only places, but also the relationship between ourselves and the other.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.006

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 head0.019
GPT teacher head0.256
Teacher spread0.237 · 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