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Record W2792829137 · doi:10.1080/08865655.2018.1452165

Border Crossing Assemblages: Differentiated Travelers and the Viapolitics of FlixBus

2018· article· en· W2792829137 on OpenAlexvenueno aff
Peter Teunissen

Bibliographic record

VenueJournal of Borderlands Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsMateriality (auditing)SociologyEconomic geographyEthnographyRelation (database)Perspective (graphical)EpistemologyAestheticsGeographyAnthropologyComputer science

Abstract

fetched live from OpenAlex

The critical border scholar William Walters argues that although vehicles of mobility (e.g. coaches, boats, and airplanes) are important features of mobility and migration, there is relatively little attention paid to the relation between materiality and migration. This research follows Walters’ notion of viapolitics to approach the bordering of mobility from the middle, from the perspective of the vehicle and not just the state, to gain a more theoretical and comprehensive understanding of human mobility and its entanglement with power-relations. Building upon assemblage theory, mobility studies, and contemporary border studies this research aims to lay bare the viapolitics of FlixBus. Drawing upon a mobile ethnography, that combines my own FlixBus travels with the analyses of policy documents and international agreements, I illustrate how FlixBus represents and reproduces scattered borderscapes. The analysis results in a concluding call for differentiated understanding of body/vehicle relations in order to understand better the bordering of mobility within the European Union.

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 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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
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 head0.042
GPT teacher head0.388
Teacher spread0.346 · 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 teacher head, not a consensus.

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

Citations17
Published2018
Admission routes1
Has abstractyes

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