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Record W4318948864 · doi:10.1093/cjres/rsac046

Delivering difference: ‘Unbelonging’ among US platform parcel delivery workers

2023· article· en· W4318948864 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.

Bibliographic record

VenueCambridge Journal of Regions Economy and Society · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsYork University
FundersNational Science Foundation
KeywordsLiminalityClothingWork (physics)State (computer science)SociologyComputer securityComputer scienceEngineeringLawPolitical science

Abstract

fetched live from OpenAlex

Abstract This paper explores a neglected aspect of platform work: how the spatial mobility that app-based couriers must perform requires them to violate taken-for-granted assumptions that define who belongs where. By assigning tasks during atypical hours and requiring gig workers to use their personal clothing, tools and vehicles, platforms strip delivery workers of signifiers that legitimate their presence in consumers’ neighbourhoods. The result is a condition we call ‘unbelonging’ – a liminal state in which their presence is considered problematic, exposing them to threats of physical and symbolic violence. Our findings, which draw on 45 interviews with parcel delivery workers, contribute to the developing literature on urban geography and the socio-spatial impacts of the platform revolution.

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)0.000
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 score0.247
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.021
GPT teacher head0.240
Teacher spread0.219 · 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