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Ecological and Socio-economic Sustainability of Ornamental Fish Business in Minapolitan Area of Blitar Regency, East Java, Indonesia

2019· article· en· W2915340411 on OpenAlexfundno aff
Zainal Abidin, Budi Setiawan, Soemarno Soemarno, Mimit Primyastanto, A. Sulong

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsSustainabilityResource (disambiguation)BusinessFisheryEnvironmental resource managementOrnamental plantQuality (philosophy)EcologyEconomicsComputer science

Abstract

fetched live from OpenAlex

Minapolitan is a concept of sustainable development policy based on the fisheries area. Blitar Regency as a center of fish ornamental fish cultivation and the Minapolitan area since 2011. During the implementation process as well as the policy output stage, an evaluation is needed to determine the sustainability status of the Minapolitan area development policy from the ecological and socio-economic dimensions; and what the most sensitive attribute play a role in the multidimensional sustainability using Multi-Dimensional Scaling Method. The main finding that the ornamental fish business in Blitar Regency is sustainable category. The most sensitive attribute contributes to the multidimensional sustainability is fisheries resource fertility, rainfall, fish cultivation benefits, water quality, and environmental knowledge. The strategy to keep the sustainability status, for example maintaining water quality as well as implementing Good Aquaculture Practices (GAP) to keep fisheries resource fertility, diligently moving a certain size ornamental fish to the aquarium to avoid the unstable rainfall, creating consumer satisfaction and improving environmental knowledge.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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.

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

Citations12
Published2019
Admission routes1
Has abstractyes

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