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Record W4415673395 · doi:10.1080/14747731.2025.2553934

In the kitchen of Indonesia's oil palm complex: life making, climate precarity and nutritional insecurity in plantation landscapes

2025· article· en· W4415673395 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobalizations · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsnot available
FundersUniversitas Sumatera UtaraUniversity of Toronto
KeywordsPrecarityPalm oilClimate changeFood insecurityWork (physics)LivelihoodEnvironmental degradation

Abstract

fetched live from OpenAlex

Recent scholarship explores the links between food security and the life-making strategies of rural populations. This study extends the analysis to a centre of Southeast Asia's oil palm plantation complex. It examines the social reproduction processes that facilitate the generation of substantial profit margins alongside patterns of deep nutritional insecurity. Drawing on fieldwork in Sumatra and integrating perspectives from agrarian change, social reproduction, and food system analysis, this study unravels the interconnections between the plantation economy, gendered life-making practices, and poor nutritional outcomes. This research argues that the confluence of migratory patterns, relational dynamics governing land and labour in the oil palm economy, food system transformations, and the exploitation of low-income women's labour coalesces into a critical nexus of climate precarity and nutritional deficiency. Policies to tackle food and nutritional insecurity and stunting need to address the processes that deplete opportunities for life-making among low-income families in oil palm landscapes.

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.

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 score0.014
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.276
Teacher spread0.266 · 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