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Record W1540268605

Mapping the lines : an exploration of mobility and urban spaces amongst bicycle couriers

2005· article· en· W1540268605 on OpenAlexaffabout
Philip J Boyle

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2005
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsInterpretation (philosophy)ImprovisationCreativityNormativeSociologySpace (punctuation)Perspective (graphical)EpistemologyMeaning (existential)AestheticsSocial psychologyPsychologyComputer scienceVisual artsArtificial intelligenceArt
DOInot available

Abstract

fetched live from OpenAlex

Recent perspectives in social theory have highlighted the need for space to be understood as active in the patterning of social life. In this thesis, I consider how space in related to the patterning of corporeal mobility in cities by drawing upon interviews conducted with bicycle couriers. I show how space and mobility are articulated towards one another through the anticipatory interface of the cognitive map. The interviews also suggest that in addition to anticipation, mobility is also largely creative and circumstantial. The popular interpretation of such creativity as resistance to a spatial structure is specifically rejected in favor of interpreting this creativity as improvisation. This interpretation stems from the theoretical understanding of urban spaces as not closed systems but diagrammatic assemblages that are open to a degree of play at the margins. From this perspective, I conclude that improvisation is not the deconstruction of spatial meaning but the means by which the normative dimension of spaces become established.Dept. of Sociology and Anthropology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .B69. Source: Masters Abstracts International, Volume: 43-03, page: 0745. Adviser: Daniel O'Connor. Thesis (M.A.)--University of Windsor (Canada), 2004.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.616

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 communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.203
Teacher spread0.171 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes2
Has abstractyes

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