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Record W2965237446 · doi:10.25157/ma.v5i2.1956

KEPUTUSAN PETANI BERALIH USAHATANI DARI TANAMAN KAKAO MENJADI LADA DI KABUPATEN LAMPUNG TIMUR

2019· article· id· W2965237446 on OpenAlex
Zulkarnain Zulkarnain, Muher Sukmayanto

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

VenueMIMBAR AGRIBISNIS Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis · 2019
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgricultural Research and Practices
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPepperAgricultureAgricultural scienceGeographyHorticultureBiology

Abstract

fetched live from OpenAlex

This study aims to determine the decision of farmers to switch farming from cocoa plants to pepper plants in East Lampung Regency. The location of this study was conducted in Sukadana District and Margatiga District, East Lampung Regency. Respondents in this study were pepper farmers and cocoa farmers in Sukadana District and Margatiga District, East Lampung Regency, as many as 67 farmers who were selected by simple random sampling. To answer the research objectives, it is logit analysis. The results of the research obtained are factors that influence farmers' decision to switch farming from cocoa to pepper crops they are farmer's age, family dependence, farming experience, and income.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.004
Science and technology studies0.0030.001
Scholarly communication0.0040.004
Open science0.0050.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0310.011

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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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