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Record W2784875369 · doi:10.29244/jskpm.1.4.421-434

Social Capital and Poverty in Two Rural Community, Sukamakmur Subdistrict, Bogor Regency, West Java

2017· article· en· W2784875369 on OpenAlex
Yemima Kristina Panggabean, Djuara P. Lubis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Sains Komunikasi dan Pengembangan Masyarakat [JSKPM] · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPovertySocial capitalEconomic growthPolitical sciencePopulationSocioeconomicsDevelopment economicsSociologyEconomicsSocial scienceDemography

Abstract

fetched live from OpenAlex

Poverty is one of the social problems that are complex and not easily overcome. Many of the programs organized by the government with the aim of improving social welfare and reduce poverty, both in rural and urban community. Poverty in the rural population is still relatively high, despite the many efforts made by the government and many who hope to reduce poverty. Many factors lead to or affecting rural poverty remains high. There is a new paradigm says that social capital has a relationship with poverty. The purpose of this paper is to analyze the level of poverty of the rural population, analyze the level of social capital, and analyze how the relationship between social capital and poverty level of the community. This research was supported quantitative qualitative data. The results of this study demonstrated an association between social capital with urban poverty. Key words: poverty, relationship, rural community, social capital====================================================ABSTRAK Kemiskinan merupakan salah satu masalah sosial yang sangat kompleks dan tidak mudah penanggulangannya. Banyak program yang diselenggarakan oleh pemerintah dengan tujuan meningkatkan kesejahteraan masyarakat dan mengurangi kemiskinan, baik dalam unit desa maupun kota. Kemiskinan pada masyarakat perdesaan masih tergolong tinggi, walaupun telah banyak upaya yang dilakukan pemerintah dan banyak pihak yang harapannya dapat mengurangi penduduk miskin. Banyak faktor yang mengakibatkan atau mempengaruhi kemiskinan masyarakat perdesaan tetap tinggi. Ada sebuah paradigma baru yang mengatakan bahwa modal sosial memiliki hubungan yang erat dengan kemiskinan. Tujuan dari tulisan ini adalah menganalisis tingkat kemiskinan masyarakat perdesaan, menganalisis tingkat modal sosial, dan menganalisis bagaimana hubungan antara tingkat modal sosial dengan kemiskinan masyarakat tersebut. Penelitian ini merupakan penelitian kuantitatif yang didukung data kualitatif. Hasil penelitian ini menunjukkan terdapat hubungan antara modal sosial dengan kemiskinan masyarakat perdesaan.Kata kunci: hubungan, kemiskinan, masyarakat perdesaan, modal sosial

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
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 head0.032
GPT teacher head0.335
Teacher spread0.303 · 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