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Record W2528263581 · doi:10.29173/cjs28298

Editorial – Contentious Mobilities/Canadian Mobilities

2016· article· en· W2528263581 on OpenAlexvenueaboutno aff
Stephanie Sodero, Nicholas A. Scott

Bibliographic record

VenueThe Canadian Journal of Sociology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsMobilitiesScholarshipSociologyContext (archaeology)IntersectionalityPower (physics)Economic geographyMedia studiesPolitical scienceSocial scienceGender studiesLawHistoryGeography

Abstract

fetched live from OpenAlex

This special issue of Canadian Journal of Sociology on ‘Contentious Mobilities’ showcases Canadian scholarship that investigates mobilities in the context of unequal power relations. Mobilities become contentious when they confront the systematic exclusion of others, advance unconventional mobile practices and defy or destabilize existing power relations. Increasingly, mobilities are contentious in relation to rapidly changing economies, societies and environments. This special issue stages an overdue encounter between the mobilities paradigm and research on sociopolitical contention. Simultaneously, this special issue addresses an empirical gap, featuring Canada as a prolific and influential site for leading-edge research. Five key themes emerge amongst the diverse papers in this issue: life and death, employment-related mobility, intersectionality/in(visibility), governance, and automobility. Further, we identify five potential topics for Canadian mobilities, including climate change, disaster, technology and travel, the good city and methods.

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)0.004
metaresearch head score (Gemma)0.025
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.977
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0090.006
Scholarly communication0.0110.004
Open science0.0040.002
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0230.007

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 head0.024
GPT teacher head0.271
Teacher spread0.248 · 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
GenreEditorial

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

Citations6
Published2016
Admission routes2
Has abstractyes

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