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Record W4388283488 · doi:10.1080/13642529.2023.2269822

Transients, punks and hobos: rethinking the history of train hopping through experimental film

2023· article· en· W4388283488 on OpenAlexaboutno aff
Kornelia Boczkowska

Bibliographic record

VenueRethinking History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsMobilitiesCrowdsNarrativeCasualPopular cultureCreativityFilm studiesCrowd psychologyHistorySociologyMedia studiesAestheticsLiteratureArtPolitical scienceSocial scienceArt historyLawMovie theaterComputer sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

While in social history and mobilities research, the study of railway mobility is becoming increasingly popular, offering new insights into (trans)national railway cultures, there is less interest in illicit mobility, unconventional modes of travel and non-regulated, irregular patterns of movement, such as train hopping, and the way they function in experimental film. To fill this gap, I build on the recent mobilities literature to discuss two stylistically distinct experimental films, Reading Canada Backwards (Steve Topping, 1995) and Portland (Greta Snider, 1996), which offer a social commentary on train hopping, typically associated with the history and material conditions of North American railway travels. Challenging the larger freighthopping mobilities discourse, both films confront the historical legacy of the hobo, as reimagined by occasional transients and punk drifters, as a product of capitalist enterprise, railroad transportation services and failed bourgeois masculinity. While in narrative and documentary films, hobo culture often emerges as an alternative, intrepid lifestyle and a personal philosophy based on economic or environmental concerns, Reading Canada Backwards and Portland take a more critical and ironic take on riding the rails, highlighting its casual spontaneity, playful creativity and affective potential, which questions the drifter as an active agent of marginal mobility practices.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.315
Teacher spread0.229 · 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.

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
Published2023
Admission routes1
Has abstractyes

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