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Record W3164533213 · doi:10.1386/jaac_00025_1

See the light: ‘Biking-with’ as an a/r/tographic method of public pedagogy

2020· article· en· W3164533213 on OpenAlex
Rebecca Mayers

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

VenueJournal of Arts & Communities · 2020
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRecreationCyclingPublic spaceAction (physics)PoliticsPublic transportSpace (punctuation)SociologyPolitical actionPublic relationsPedagogyPolitical scienceMedia studiesPublic administrationGeographyEngineeringLawArchitectural engineeringComputer science

Abstract

fetched live from OpenAlex

Given the prevalence of cycling as a recreational activity and mode of transportation, cities are continuously increasingly incorporating cycling into their plans for the future. Considering the rise of cycling in popular and academic discourse, it is paramount to consider the lived experience of cycling and be able to conduct and disseminate research in a meaningful way. Drawing upon a/r/tography as a methodology, whereby the artist/researcher/teacher coexist, this article explores ‘biking-with’ as a political practice and critical public pedagogy opposed to dominant discourse of mobility and space in the city of Vancouver, British Columbia, Canada. The findings suggest that ‘biking-with’ as civic action and challenge norms around private/public space.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.119
GPT teacher head0.387
Teacher spread0.267 · 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