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Record W4288033823 · doi:10.18280/ijsdp.170402

Social Acceptance: Mapping the Perspectives of Stakeholder in the Development of Geothermal Power Plants in West Sumatra, Indonesia

2022· article· en· W4288033823 on OpenAlexvenueno aff
Dian Kurnia Anggreta, Gumilar Rusliwa Somantri, Semiarto Aji Purwanto

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsnot available
FundersLembaga Pengelola Dana Pendidikan
KeywordsGeothermal gradientStakeholderSocial acceptanceGeothermal powerPower (physics)Political scienceEnvironmental planningEnvironmental resource managementBusinessGeographyGeologyEnvironmental scienceGeothermal energyPublic relationsPsychology

Abstract

fetched live from OpenAlex

The Indonesian government is pushing for an increase in the development of geothermal power plants.West Sumatra is one of twenty provinces in Indonesia that have geothermal potential.The government has given the company permission to develop geothermal potential in two districts in West Sumatra.Phase I development has been successfully carried out in South Solok Regency, while Solok Regency has experienced problems.Social acceptance is one of the determining factors for the success of the project development.This article aims to look at the perspectives of stakeholders around the geothermal field, and analyze the social acceptance of a geothermal power plant project in West Sumatra.This research uses case study research method.Data collection is done by interview, observation, and document studies (such as Environmental Impact Assessment documents, government regulations on geothermal, and local media news).The results show that there are variations in stakeholder perspectives regarding geothermal power plants.Public acceptance of the geothermal power plant in South Solok Regency is relatively good because the company positions the surrounding community as partners.Social acceptance at the project site in Solok Regency was relatively weak and there was a resistance movement.Socio-political acceptance (by various stakeholders such as the Provincial Government, Regency Government, Nagari Government, and Regional House of Representatives) tends to be substantial due to the multiplier effect of development.This study has limitations in looking at the dynamics of local politics, which are the determinants of support, and the readiness of the Regional Government to face the rejection phenomenon at the local level.This is an input for further research, because in this study it was found that social acceptance requires the support and readiness of the Regional Government.So that the rejection by the local community can be resolved, so that the extraction of electrical energy goes according to the government's target, and the rights of the local community in the project site area are fulfilled.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.246
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2022
Admission routes1
Has abstractyes

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