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Record W4404463031 · doi:10.1080/08865655.2024.2428630

Everyday Life of Truck Drivers at the Border: The Case of Hopa-Sarp Border

2024· article· en· W4404463031 on OpenAlexvenueno aff
Esin Hamdi Dinçer, Gülşen Çakıl Dinçer

Bibliographic record

VenueJournal of Borderlands Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsTruckEveryday lifeEconomic geographyPolitical scienceGeographyEngineeringLawAutomotive engineering

Abstract

fetched live from OpenAlex

Borderscape discussions have expanded border studies by emphasizing the defining aspect of borderline social relations. Thomas Nail also contributed literature by considering the immigrant’s resistance power with the concept of the figure. Nail’s theory, despite its methodological contribution, neglects the possibility that the proletariat’s everyday life experiences could not resist expansion strategies by expulsion. This article methodologically utilizes Henri Lefebvre’s works on everyday life and alienation to understand the situations in which the proletariat cannot reveal pedetic force. The article investigates the everyday life of truck drivers in Hopa Kopmuş Truck Park, one of the waiting points of the Sarp Border Gate. The article discusses the expansion strategies by expulsion that drivers are exposed to in their private life, leisure, and working life, as well as their relationship with the space in the context of alienation.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.008
Scholarly communication0.0050.004
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.357
Teacher spread0.334 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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