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Record W4387310596 · doi:10.1177/07311214231193355

Moral Panic and Electric Micromobilities: Seeking Space for Mobility Justice

2023· article· en· W4387310596 on OpenAlex
Travers Travers, N. Scott, Kathleen Reed, Peter Hall, Meghan Winters, Gene F. Kwan, K. Park

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSociological Perspectives · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaMcGill University
KeywordsMoral panicLegitimacyMobilitiesEconomic JusticeSociologyEthnographyBattleSpace (punctuation)CriminologyFace (sociological concept)Political scienceLawPoliticsSocial scienceComputer science

Abstract

fetched live from OpenAlex

This article makes the case that electric micromobilities (EMMs) are the site of a moral panic and employs the lens of mobility justice to explain it. Through analysis of scholarly and media discourse, interviews with, and social media content produced by, EMM riders (eriders), and the auto ethnographic experiences of the lead author as an electric unicycle rider in daily life, as a participant in online and offline "erider" communities, and as a food delivery worker, we reinforce the conclusion that alternate mobilities face an uphill battle in gaining legitimacy and inclusion in transportation policy and infrastructure. While this is not a new finding-alternate mobilities have a long history of being demonized and excluded-this article offers insight into how individuals who find themselves unwitting scapegoats in conflicts over public space consciously engage in deliberate actions to resist EMM panic and achieve greater mobility justice.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
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 head0.066
GPT teacher head0.368
Teacher spread0.302 · 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