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Record W4414498661 · doi:10.1080/14747731.2025.2553925

Long-standing labour migration, new plantation enclosures, and social reproduction in Indonesian Borneo’s borderlands

2025· article· en· W4414498661 on OpenAlexaff
Kimberly M. Carlson, Atem Atem, Jacqueline M. Dean, Yustina Octifanny, Ainun P. Seruni, Syarifudin Syarifudin

Bibliographic record

VenueGlobalizations · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsEncana (Canada)
FundersNational Science Foundation of Sri LankaUniversity of Hawai'i at MānoaU.S. Department of AgricultureNational Institute of Food and AgricultureNational Science Foundation
KeywordsIndonesianReproductionSocial reproductionSocial impactGovernment (linguistics)

Abstract

fetched live from OpenAlex

Where people in the rural tropics have long participated in labour migration, plantation expansion may generate new employment and market opportunities that disrupt mobility. Drawing on a household survey and in-depth interviews, we explore such dynamics in two Indonesian villages along the Malaysian border in Borneo. Here, Indigenous Dayak and Malay households had enduring traditions of work in Sarawak, Malaysia. After circa-2000 oil palm plantation development, rather than taking up sustained plantation work, many of these households continued labour migration and/or planted oil palm on their lands. In-migrants sponsored by Indonesia’s transmigration programme who settled along the border in the late 1990s tried work in Malaysia but turned to plantation labour when it became available. We interpreted these differences through the lens of social reproduction. The ability to sustain secure and remunerative labour migration, which depended on social relationships reproduced across the border and sending site care availability, shaped cross-group disparities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.305
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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