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Record W4255397796 · doi:10.1163/2667078x-01702003

Enabling Conditions for Structures of Domination: Java’s Colonial Era “Cultivation System” and Indonesia’s Palm Oil Plantation System in Comparative Analysis

2016· article· en· W4255397796 on OpenAlexaff
Mark Stevenson Curry

Bibliographic record

VenueAsian international studies review · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsColonialismProsperityMonopolyIndigenousState (computer science)Political economyEconomyEconomicsPolitical scienceLawMarket economyEcology

Abstract

fetched live from OpenAlex

Historians of colonial-era Java have produced considerable debate about how the Dutch colonial era Cultivation System (1830-1870) brought prosperity to the Netherlands in contrast with the fortunes of Javanese societies under the imposition of mandatory production quotas. Separately, palm oil plantation agriculture in contemporary Indonesia, since the mid-1990s, has sparked a different debate on the state’s power to direct development over biodiversity and the rights and existence of Indigenous People. In comparative-historical analysis, the structures of domination in each era provide useful symmetries: the speed of implementation; the realization of extraordinary profits; the adverse incorporation of local communities; and environmental impacts. However, the enabling conditions that underpinned and sustained both the colonial era Cultivation System and the contemporary palm oil boom remain to be explored and applied to the paired agencies of investment capital and the developmental state. From historical accounts, four enabling conditions emerge: a catalyzing crisis; close control over information flows; maintaining an official monopoly over order and violence; and an official discourse intolerant of dissent or resistance. These symmetries in comparison permit an assessment of the state’s role as an agent for an antidevelopment double-action: what Harvey calls “Accumulation by Dispossession” and Santos (2007) calls “Epistemicide.”

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 score0.441
Threshold uncertainty score0.324

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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
Published2016
Admission routes1
Has abstractyes

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