MétaCan
Menu
Back to cohort
Record W4384072906 · doi:10.24036/jk.v5i2.689

Kehidupan Sosial Ekonomi Petani Karet di Nagari Sumpur Kudus Selatan Kecamatan Sumpur Kudus Kabupaten Sijunjung Tahun 2007-2022

2023· article· en· W4384072906 on OpenAlexaff
Fani Kurnia, Azmi Fitrisia

Bibliographic record

VenueJurnal Kronologi · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAgricultural and Environmental Management
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsLivelihoodData collectionAgricultural scienceSociologySocial scienceGeographyAgricultureBiology

Abstract

fetched live from OpenAlex

The research entitled socio-economic life of rubber farmers in Nagari Sumpur Kudus Selatan, Kecamatan Sumpur Kudus Kabupaten Sijunjung regency in 2007-2022. The thesis majoring in history education, faculty of social sciences, padang state university raises the issue of how to develop the socio-economic life of rubber farmers in Nagari Sumpur Kudus Selatan, Sumpur Kudus District, district Sijunjung regency in 2007-2022. This study uses a qualitative appoarch to the research method, namely the historical method consist or data collection. The second stage is source critism, namely the author examines whether the data that has been found is true or not, whether the source is really good and reliable. The tird stage, interpretation, the fourth stage historiography namely the author writes from the data. The data that has been optained becomes a scientific work. The results of this study found that the main livelihood of the people of Nagari Sumpur Kudus Selatan is as rubber farmers, where rubber plants entered the Nagari around the 1940s and have continued to develop until now.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.258
Teacher spread0.236 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJurnal KronologiSame topicAgricultural and Environmental ManagementFrench-language works237,207