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Record W2068214469 · doi:10.5539/jsd.v3n2p84

Community Perception, Satisfaction and Participation toward Power Plant Development in Southernmost of Thailand

2010· article· en· W2068214469 on OpenAlexvenueno aff
Sarawuth Chesoh

Bibliographic record

VenueJournal of Sustainable Development · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodFocus groupDialog boxSocioeconomicsAsset (computer security)DemocracyPerceptionCommunity developmentQualitative propertyMulticulturalismEconomic growthGeographyPsychologyPolitical scienceSociologyMarketingBusinessEconomicsAgriculture

Abstract

fetched live from OpenAlex

A quantitative–qualitative mixed method was applied to investigate perception, satisfaction and participation of multicultural inhabitants toward the power plant development in Songkhla’s Chana district. A total of 1000 households and 20 community leader were selected and were taken in-depth interviewed annually from January 2005 to December 2008.. Observation, focus groups, citizen dialog and consultative group meeting were also included for data collection. The direct affected inhabitant was expected to exceed 6,325 households in the Nathab River vicinity. Most of the respondents (97%) indicated that they knew various project development programs and overall satisfactions of respondents range from 83 to 95%. Male, education, social status, family income and asset, ability of accessing information, sense of democracy, public interest awareness, resources dependence for livelihood, caliber of project public relation staff, frequencies of community visiting and public activity funding were positively and significantly (p

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.566

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 studies0.0000.000
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 head0.055
GPT teacher head0.241
Teacher spread0.186 · 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 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

Citations10
Published2010
Admission routes1
Has abstractyes

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