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Record W4413288837 · doi:10.1111/joac.70034

Labour and Land in Indonesia: An Introduction

2025· article· en· W4413288837 on OpenAlexaff
Ben White, Marcus Taylor

Bibliographic record

VenueJournal of Agrarian Change · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeographyPolitical scienceEconomicsSocioeconomicsDevelopment economicsAgricultural economics

Abstract

fetched live from OpenAlex

ABSTRACT This article provides a reflective overview of Indonesian agrarian history, contemporary agrarian dynamics and the growing field of Indonesian agrarian studies. By charting the evolution of the field and highlighting landmark studies, it traces the work and influence of both foreign researchers and the lesser known tradition of agrarian political economy by Indonesian scholars. In doing so, it highlights compelling themes within the political economy of agrarian Indonesia that are engaged in the contributions to the Special Issue on Labour and Land in Indonesia. These include the changing and diverse composition of class relations and their impact on social differentiation; the gendered and generational relationships linking household reproduction to rural and migratory labour; the expansion of plantations and agrarian extractivism; and the increasing bureaucratisation and militarisation of Indonesian rural life. As the individual contributions to the special issue make clear, these areas of research remain central to both the past and future of Indonesian agrarian studies.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.106

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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