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Record W2159292047 · doi:10.1080/0966369x.2010.517023

Embodied negotiations: identity, space and livelihood after trade zones in the Dominican Republic

2010· article· en· W2159292047 on OpenAlexfundno aff
Marion Werner

Bibliographic record

VenueGender Place & Culture · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Minnesota
KeywordsLivelihoodNegotiationGender studiesRestructuringEmbodied cognitionSociologyEthnographyPosition (finance)Subject (documents)Identity (music)IdeologyEconomic growthPolitical scienceGeographyEconomicsSocial scienceAnthropologyAgriculture

Abstract

fetched live from OpenAlex

In this article, I analyze socio-spatial processes of subject-making at the center of the restructuring of export industries. To do so, I develop the concept of ‘embodied negotiations’ to explain the spatial and corporeal experience of trade zone workers reproduced as migrants with the collapse of garment exports in the Dominican Republic. Drawing on ethnographic research, I examine ‘rural return’ as both a livelihood strategy and a discourse shaped by inter-related gender and racial ideologies of labor as well as the uneven transnationalization of rural and urban localities. I show how the negotiation of social position by subjects marked by race, gender and class is always also a negotiation of spatial position in and between localities structured through raced, gendered and class relations. Men's efforts to remain in urban areas as a form of social ‘whitening’ are compared to women's resistance to rural return as an attempt to stay in circulation as paid labor. Overall, I argue that feminist research on global production should be ‘spatialized’ by attending to livelihoods and practices of subject-making that emerge in parallel to export restructuring.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.019
GPT teacher head0.265
Teacher spread0.245 · 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

Citations20
Published2010
Admission routes1
Has abstractyes

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