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Record W3194133856 · doi:10.18280/ijsdp.160418

The Sustainability of Independent Palm Oil Smallholders in Multi-Tier Supply Chains in East Kalimantan Indonesia

2021· article· en· W3194133856 on OpenAlexvenueno aff
Fakhrizal Nashr, Eka Intan Kumala Putri, Arya Hadi Dharmawan, Akhmad Fauzi

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsnot available
FundersInstitut Pertanian BogorSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsSustainabilityIndonesianPalm oilBusinessGeneral partnershipAgricultural economicsEnvironmental planningEnvironmental resource managementAgroforestryGeographyEnvironmental scienceEconomicsEcology

Abstract

fetched live from OpenAlex

The smallholder oil palm farmers (SHFs) manage almost half of the Indonesian oil palm area, often associated with unsustainable oil palm sources. There has been limited research conducted to assess SHFs status in Indonesia. This study analyzed sustainability of existing Multi-tier Supply Chain Management through Rapfish diagnostic application with Multi-Dimensional Scaling (MDS) in oil palm mills, suppliers, and SHFs. This study found triadic typologies of MSCs in the Kutai Kartanegara District and six sustainability dimensions including economic, social, ecology, political, and institution to improve the regional strategy for sustainable palm oil plantations in the East Kalimantan Province. The closed triadic relationship in Gunung Sari and Pulau Pinang Villages has better performances on four sustainability dimensions compare to other villages. The oil palm mills could connect directly with SHFs and reduce asymmetric information and rent-seeking behavior through the traceable land ID system and enabling the Public-Private Partnership program.

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)0.001
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 score0.150
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.015
GPT teacher head0.257
Teacher spread0.242 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sustainable Development and PlanningSame topicOil Palm Production and SustainabilityFrench-language works237,207