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Record W4254701312 · doi:10.4324/9781315200217-1

Networked Urban Mobilities

2017· book-chapter· en· W4254701312 on OpenAlexaboutno aff
Kevin Hannam, Aslak Aamot Kjærulff, Peter J. Peters, Sven Kesselring

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsMobilitiesSociologyEconomic geographyGeographySocial science

Abstract

fetched live from OpenAlex

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book investigates the playful artistic intervention of a music-route in Montreal, Canada. It focuses on artistic responses to the Walking with Wordsworth and Basho exhibition held at Dove Cottage in the Lake District, UK. The book develops an analytical view on artistic mobility and history through their examination of the mobility entanglements of representations of the Dardanelles straits originating from two late seventeenth-century French journeys to the Ottoman Empire. It describes the notion of &s;reflective assemblages&s; and &s;comobility&s; through locative media art. The book examines sonic and theatrical artistic interventions as a contribution to the development of mobile methods through a discussion of the work of the Italian artist Daniela de Paulis and the German theater group Rimini Protokoll. It reviews the &s;spectral&s; sounds of motorways by engaging with artists that have sought to listen to roads beyond their &s;unreadable surfaces&s;.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0490.009

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 head0.055
GPT teacher head0.322
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2017
Admission routes1
Has abstractyes

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