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Record W7037579861

Entanglements: Volkswagen de MĂŠxico and Global Capitalism

2017· dissertation· en· W7037579861 on OpenAlexfundno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2017
Typedissertation
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsnot available
FundersUniversity of TorontoCity University of New YorkWenner-Gren Foundation
KeywordsCapitalismRelations of productionSWORDGlobal SouthEthnographyGlobal cityProduction (economics)Middle classInformal sector
DOInot available

Abstract

fetched live from OpenAlex

This dissertation is an ethnographic study of global capitalism. It examines the multilayered presence of Volkswagen de México to grapple with the double-edged sword of transnational economic dependencies. Car manufacturing in Mexico has created jobs for a number of college graduates, middle class status, modes of relationality and care, and even the possibility to migrate to Germany. At the same time global car production relies on a large number of low-wage and uncertain jobs, on mechanisms that make labor cheap and discipline the labor force, as well as on land and water dispossession. While Volkswagen de México is a medium of inclusivity into 21st century global capitalism, it has also created contentious relations on the ground: among those who celebrate the presence of the factory, those who oppose it, those who have been violently excluded, and among unionized and non-unionized workers. To elucidate this complex and convoluted landscape of social relations, this study examines how transnational car production intersects with processes of nation-state formation, local ideas about status, and personal aspirations, as well as the conjunctures between global transformations, manufacturing, and the North American Free Trade Agreement. This dissertation shows how Volkswagen’s car economy has endured through forms of domination, subjugation and accommodation, and traces its not-always-predictable effects on the ground. Thereby it offers a nuanced and textured account of how global capitalism is constituted trans-locally.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.050
GPT teacher head0.355
Teacher spread0.305 · 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 designOther design
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
Published2017
Admission routes1
Has abstractyes

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