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Record W2740521579 · doi:10.1177/0308275x17719989

State illegibility in the containment of labour unrest on the Thai-Myanmar border

2017· article· en· W2740521579 on OpenAlexafffund
Stephen Campbell

Bibliographic record

VenueCritique of Anthropology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsTrent University
FundersSocial Sciences and Humanities Research Council of CanadaTrent University
KeywordsUnrestContext (archaeology)SociologyState (computer science)Political economyEconomicsLawPoliticsPolitical science

Abstract

fetched live from OpenAlex

In the literature on governmentality, rights have been posited as technologies of rule, encouraging individual self-government, as well as active participation in the institutions of the liberal state. In the context of globalised industrial production, however, a realisation of justiciable rights may, by raising wages and other labour costs, challenge the ability of states to attract capital investment. In the present article, I take as a point of departure this apparent contradiction – between the liberal promise of rights through governmental incorporation and the reality that a realisation of such rights threatens profitability, and potentially viability, in domestic capitalist production. Empirically, my research is grounded in an ethnographic study of the garment sector at the Mae Sot industrial zone in north-west Thailand. Over the past decade-plus this site has seen an expansion of governmental interventions targeting the local Myanmar migrant population. Yet the vast majority of these migrants continue to earn wages far below the legal minimum, and face other egregious violations of labour rights. This gap, between the promise and the realisation of rights, leads to the state's illegibility. This illegibility is, I argue, of significance for theorising state regulatory regimes and the containment of labour unrest at sites of low-waged industrial production embedded in contemporary global supply chains.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.416
Teacher spread0.383 · 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 designTheoretical or conceptual
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

Citations8
Published2017
Admission routes2
Has abstractyes

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