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Record W2794499807 · doi:10.5539/jsd.v11n2p25

Conceptual Framework of the Green Economy for Oil Palm

2018· article· en· W2794499807 on OpenAlexvenueno aff
Wisakha Phoochinda

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsnot available
FundersNational Research Council of Thailand
KeywordsPalm oilConceptual frameworkAgricultureBusinessContext (archaeology)Christian ministrySustainable developmentSustainabilityAgricultural economyEconomyMarketingEconomicsAgricultural scienceSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

The study aimed to investigate operation of oil palm industry based on Green Economy concept. The conceptual framework of the Green Economy for the oil palm industry was established in accordance with Thailand’s context. Information was compiled via literature review on definition, meaning, concept, and theory of the Green Economy, and the oil palm industry, as well as interviews with 15 specialists, experts, scholars, farmers, and officials of relevant agencies such as the Ministry of Agriculture and Cooperatives.The information from the interviews was analyzed by grouping issues and content analysis, and description to obtain the conceptual framework. Then, the framework was assessed by specialists, experts, and officials from the Ministry of Agriculture and Cooperatives with expertise in oil palm, and farmers for implementation.The study findings revealed that the application of the conceptual framework of the Green Economy for the oil palm industry consisted of the Sufficiency Economy Philosophy, Roundtable on Sustainable Palm Oil (RSPO), economic development such as development of organic farming, management of yields and waste, social development such as better quality of life for farmers, higher negotiating power for farmers, equality; and environmental development such as balanced eco system, reduced impact on the environment, and use of environmental-friendly technology.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.233
Teacher spread0.223 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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