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Record W4211033525 · doi:10.26522/jess.v4i.3716

When Ford and Chevy Were Argentine

2022· article· en· W4211033525 on OpenAlex
David Sheinin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Emerging Sport Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsTrent University
Fundersnot available
KeywordsNarrativeDirtHybridityLatin AmericansHistoryAdvertisingArt historyArtVisual artsEconomyPolitical scienceGeographyCartographyLiteratureBusinessLawEconomics

Abstract

fetched live from OpenAlex

This article focuses on Argentine car racing, and more specifically, the car racing class that from the 1930s through the early 1970s was the country’s most popular racing event, Turismo de Carretera (touring car racing or TC). For decades, TC drew thousands of fans on paved freeways, on closed speedways, and along rough-and-tumble dirt routes through cities, towns, and the countryside. In the performance, consumption, and narratives of TC, Argentines made U.S. car brands their own. American autos became Argentine. In part, this is an analysis of a culturally constructed hybridity, the Argentine-American car. But more than that, the paper argues that in the 1950s and 1960s, TC transformed quintessential U.S. brands and cultural markers into representations of Argentine daring and mechanical know-how. The central figures in that transformation were the legions of local mechanics who made American cars Argentine through their brilliance under the hood and sometimes, behind the wheel as well.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.059
GPT teacher head0.348
Teacher spread0.290 · 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