MétaCan
Menu
Back to cohort
Record W3168752824 · doi:10.6000/1929-4409.2021.10.82

Impact of Coastal Reclamation on Environmental Sustainability and Tourism-Based Economy on the North Coast of Java

2021· article· en· W3168752824 on OpenAlexvenueno aff
Bambang Eko Turisno, I Gusti Ayu Gangga Santi Dew

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsnot available
Fundersnot available
KeywordsLand reclamationTourismSustainabilityGovernment (linguistics)RealmEnvironmental planningBusinessSustainable developmentNatural resourceWelfareEnvironmental resource managementGeographyPolitical scienceEconomicsLawEcologyArchaeology

Abstract

fetched live from OpenAlex

Coastal reclamation has been increasingly growing in Indonesia is done by multiplying natural resources and economy in coastal management for the welfare of the surrounding community. The research objective is to determine the potential of coastal reclamation land in Coastal residents that is sustainable and to reconstruct a just marine environment reclamation policy. This research can be broadly grouped into the realm of the socio-legal approach. The results of the research showed that the potential for marine reclamation on the north coast of Jawa for business development and tourism areas for the welfare of the surrounding community. Since 2014, the authority of the sea and the coast has become the authority of the provincial government. The authority and supervision of the regional government are reduced, considered detrimental for the life of the coastal community which is the majority of fishermen. Hence, the policy reconstruction of marine environment reclamation is carried out by reconstructing the value of policies in the form of making policies that genuinely involve community and reconstructing the laws and regulations that are still in force.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.265
Teacher spread0.245 · 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 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

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Criminology and SociologySame topicCoastal Management and DevelopmentFrench-language works237,207