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Record W4394581869 · doi:10.1080/08865655.2024.2338751

Cattle Smuggling Across the India-Bangladesh Borderlands: A Challenge for Border Management?

2024· article· en· W4394581869 on OpenAlexvenueno aff
Saraf Wasima

Bibliographic record

VenueJournal of Borderlands Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeographyBusinessInternational tradeDevelopment economicsEconomic growthEconomics

Abstract

fetched live from OpenAlex

This study offers a comprehensive assessment of the cattle smuggling issue along the borders of India and Bangladesh. This critical subject has received little scholarly attention despite having substantial implications for border security, the regional economy, and the sustenance of local populations. This study investigates the complex socioeconomic and political factors that drive illicit trade in borderland areas, employing a thematic analysis of focus group discussions and key informant interviews with residents. Data were collected from 46 borderland residents, including local villagers and informal cross-border traders, from Panchagarh, Kurigram, and Satkhira districts. The findings indicate the presence of four primary themes, namely “Economic Imperatives of Cattle Smuggling,” “High Demand for Indian Cattle in Bangladesh,” “Lack of Proper Border Management,” and “Risks Associated with Cattle Smuggling.” These themes highlight the economic imperatives, market-oriented dynamics, and governance complexities of cattle smuggling in the India-Bangladesh borderlands.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.757
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.037
GPT teacher head0.390
Teacher spread0.353 · 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 designQualitative
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

Citations5
Published2024
Admission routes1
Has abstractyes

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