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Record W2595921427 · doi:10.1177/1527476417705030

Urban Cartographies: Mapping Mobility and Presence

2017· article· en· W2595921427 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTelevision & New Media · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSociologyMobilitiesSocial science

Abstract

fetched live from OpenAlex

This special issue takes up new media in situ, addressing how new media technologies have the potential to re-orient us and, by extension, radically intervene in our understandings of place—specifically the public spaces of the city—and our place in it. We not only explore the specificities of these new media technologies and the cultural practices they afford but also highlight the intimate relationships they instantiate with their surroundings. The specific case studies highlighted in the contributors’ essays discuss gaming in Canada (Engel) and Japan (Hjorth), the traces of racism in South Carolina (Cooley), the topographical footprint of settler colonialism (Zwicker et al), Hong Kong pace (Wilmott), and artistic experiments that use the city as a laboratory (Verhoeff). What holds all of these contributions together is their indebtedness to creative cartography. This special issue on Urban Cartographies explores the paradoxes of presence, co-presence and absence as represented on and generated by our living, mediating screens.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.311
Teacher spread0.258 · 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