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Record W2984256799 · doi:10.1080/08865655.2019.1685400

Regulation and Contraband Trade in the Bangladeshi Borderland: Whose Weapons?

2019· article· en· W2984256799 on OpenAlexvenueno aff
Robayt Khondoker

Bibliographic record

VenueJournal of Borderlands Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Position (finance)CollusionEthnographyEconomicsSpace (punctuation)Political economyBusinessMarket economyInternational tradeEconomySociologyFinanceIndustrial organization

Abstract

fetched live from OpenAlex

The article presents an ethnographic evidence on the informal economic activities of the cattle traders on the border area of Bangladesh surrounding Indian state of West-Bengal. On the basis of fieldwork and in-depth interviews, the article shows how the powerful traders manage to accrue wealth for themselves with the collusion of state officials from the trading activity while the small traders and carriers manage to earn their share of benefit. The study also indicates the paradox of state behavior while regulating the trading activity: on the one hand the state demonstrates its inability to facilitate the trade across the border on the other hand the state is collecting tax from the traders. By drawing on the theoretical debates on informal economy, the analysis demonstrates that the strong presence of the state in regulating the trading activity puts the limit on the maneuvering space of the influential traders while harassment of the small traders by border security forces and increasing death toll of the carriers compromises the position of the weak in this trading site. Therefore, the study argues that the trading activity neither constitutes as a “weapon of the weak” nor as a “weapon of the strong”-rather it reflects an ambiguous character. Second, despite hostile border security environment and absence of any formal regulatory arrangements, the cross-border cattle trade remains efficient, highly organized and deeply rooted business in the border area of Bangladesh.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.301

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 studies0.0000.000
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 head0.026
GPT teacher head0.330
Teacher spread0.304 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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