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Record W2952180898 · doi:10.25316/ir-550

Mentre tu dormivi: Traghetti e pendolari in British Columbia [While you were asleep: Ferries and commuters in British Columbia]

2014· article· en· W2952180898 on OpenAlexaboutno aff
Phillip Vannini

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistoryDemographySociology

Abstract

fetched live from OpenAlex

Cultural critics have made of the commuter a modern popular culture stereotypical figure, characterized by habitual and automatic behavior. Tied to a security belt, hidden behind a newspaper, stuck inside a train coach, and linked to a cellphone or iPod, the commuter is apparently deprived of sensations, emotions, sense of place, endlessly trapped in the whirl of translocal flows. Such image is undoubtedly superficial. Recently, everyday movement practices have attracted the attention of mobility researchers. An interdisciplinary study of the intersections between bodily and virtual movement of people, objects, and information has developed (Adey 2010). The study of mobility has began to spread light on subjectivities, experiences, and the mundane practices of travellers (such as commuters) with the aim to overcome the commonsensical idea that transit zones (ranging from airport terminals to highways) are spaces without meaningful interaction. With this piece, I seek to contribute to an ethno - graphic study of mobility. More specifically, whereas a large part of research carried out so far has privileged transport means like cars, trains and buses, i turn to a relatively neglected means of mobility: ferries. Drawing on an three-year ethnography among island and seaside communities of British Columbia, Canada (Vannini, 2012), I have interpreted the experiences and practices of commuters’ everyday mobility as active space and time performances.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.174
Teacher spread0.168 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueVIURRSpace (Vancouver Island University)Same topicCanadian Identity and HistoryFrench-language works237,207