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Record W4401195074 · doi:10.5539/ass.v20n4p49

Strengthening the Family Economy through Efforts to Development of Working Capital Investment in Traditional Fishermen in Pati Karya Village, Indonesia

2024· article· en· W4401195074 on OpenAlexvenueno aff
Rustan M.Si

Bibliographic record

VenueAsian Social Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)Capital (architecture)BusinessCapital investmentWorking capitalEconomyEconomicsEconomic growthPolitical scienceFinanceAncient historyHistoryLaw

Abstract

fetched live from OpenAlex

Type of qualitative research through a phenomenologica approach, while the research results show that the welfare of traditional fishermen in coastal areas, especially those who depend on the fisheries sector, is the main focus in maintaining economic and social sustainability. The main challenges faced are low income and limited access to profitable markets, adequate technology, and sufficient working capital. Therefore, the necessary strategies include the formation of fishing groups, knowledge enhancement training, government support in information technology, and modernization of fishing gear. Through cooperation between the government, development agencies, and communities, efforts to improve the welfare of traditional fishermen can be realized, maintaining the sustainability of the fisheries sector and the local economy. The financial management of traditional fishermen in Selayar Regency has advantages in independence, flexibility, and connectedness with local culture, but also faces a number of challenges. Despite being able to manage finances independently and flexibly in the face of changing markets and seasons, traditional fishermen often have difficulty accessing formal financial resources and lack understanding of modern financial principles. They are also vulnerable to economic and environmental changes and lack of supporting infrastructure in their areas. Therefore, efforts are needed to improve access to formal financial services, modern financial knowledge, and supporting infrastructure to improve financial management and economic stability of traditional fishermen.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.276
Teacher spread0.231 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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