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Record W4415758637 · doi:10.1080/08865655.2025.2576248

The Bovine Border at Mae Sot: “Just Transit” and the Live Cattle Trade Across Southeast Asia

2025· article· en· W4415758637 on OpenAlexvenueno aff
Jiraporn Laocharoenwong

Bibliographic record

VenueJournal of Borderlands Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSoutheast asiaBeef cattleLivestock

Abstract

fetched live from OpenAlex

This paper examines the cross-border cattle trade along the Myanmar – Thailand border, where live cattle are transformed into “lively commodities” (Collard and Dempsey 2013) through a complex infrastructure of quarantine, classification, and care. Drawing on ethnographic fieldwork with cattle caretakers, traders, quarantine station owners, and veterinarians, this paper elucidates how cattle arrive as potential disease carriers and are rendered healthy, legal, and trade-ready through documentation and certification, culminating in the issuance of a bo(a)rdering pass that reclassifies them as Thai oxen. In parallel, cattle traders employ informal practices of sorting and valuation, relying on embodied expertise to anticipate an animal’s growth potential and market value. Migrant caretakers provide labor-intensive, affective care sustaining the animals’ health while in quarantine. These intersecting practices produce the “square,” meaty ox, a figure of commodity perfection destined for sale in China. The paper argues that cattle mobility does not simply traverse the border but actively participates in its making, reshaping its function, infrastructure, and significance. Conversely, the border transforms the meaning, legal status, and the physiology of the animals that pass through it. The entanglement of animals, humans, and border practices give rise to and enact a bovine border that is not merely crossed but also continually reassembled.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.005
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 head0.023
GPT teacher head0.363
Teacher spread0.340 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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