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Record W2314053365 · doi:10.3167/trans.2013.030109

"All Transportation Is Local"

2013· article· en· W2314053365 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

VenueTransfers · 2013
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsYork University
Fundersnot available
KeywordsTraverseNegotiationMobilitiesSpace (punctuation)Relation (database)PerceptionComputer scienceSociologyHuman–computer interactionGeographyPsychologyCartography

Abstract

fetched live from OpenAlex

In an increasingly mediated situation, mobile, digital, and networked technologies (MDNTs) prompt individuals to orient themselves in new ways to the spaces they traverse. How users and communities experience these technologies in relation to the environments around them subsequently affects mentalities, including perceptions of space and mobility. The mediating presence of digital technology interconnects internal and external factors through diverse social and technological networks. This paper uses interdisciplinary theoretical perspectives to argue that ubiquitous MDNTs alter the ways that individuals orient themselves in relation to the spaces, both on- and offline, that they traverse. By mediating various visual, audible, and informational aspects of daily life while remaining implicated within external networks of related experiences, individuals move through on- and offline spaces in ways that allow the subject to negotiate her local environment(s). Experiences of mobility and space become more fluid as spatial subjectivities and mobility become integrated.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.752
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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