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Record W2931463778 · doi:10.1080/0966369x.2018.1552926

Automobility and masculinities between home and work: trucks as the ‘new normal’ in Newfoundland and Labrador

2019· article· en· W2931463778 on OpenAlexfundaboutno aff
Lachlan Barber

Bibliographic record

VenueGender Place & Culture · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
FundersNational Eye InstituteSocial Sciences and Humanities Research Council of Canada
KeywordsTruckMasculinityWork (physics)Identity (music)Gender studiesMeaning (existential)SociologyAppealRelation (database)PopularityEngineeringPolitical sciencePsychologyLawAesthetics

Abstract

fetched live from OpenAlex

Automobiles are ubiquitous objects of private consumption and their meaning and use are shaped by different aspects of identity, including gender. The gender dimensions of automobility associated with particular types of vehicles have not been extensively researched. This article studies pickup trucks and masculinities in relation to home and work in the industrial construction sector in Newfoundland and Labrador, Canada. There, like in much of North America, trucks have become the most commonly purchased new vehicles over the last decade. Their widespread popular appeal contrasts with their historical development for manual labour gendered as masculine, such as farming and fishing, in rural places and environments conducive to such labour. Drawing on interviews with construction industry actors and workers, the article shows how new, expensive trucks have come to reflect the hegemonic masculinity at male-dominated industrial construction projects, while also showing how the meanings and uses of trucks are complex and contested. Trucks are understood to be functional for work and driving, but they are also status symbols, often used only sparingly for commuting, masculinized domestic work and leisure activities. The article unpacks the new and expanding popularity of the truck and its positioning in practice in relation to masculinities, work, and to the landscape in a place-based gender regime. In doing so, it contributes to efforts to contextualize masculinities in place, while also revealing how they are related to gender constructs in other places and at other scales.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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 designObservational
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

Citations6
Published2019
Admission routes2
Has abstractyes

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