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Record W2994980679 · doi:10.22437/jiiip.v22i2.8354

Ternak Kambing Sebagai Sumber Pendapatan Saat Kelapa Sawit Replanting Menuju Kemandirian Pangan

2019· article· id· W2994980679 on OpenAlex
Latifa Siswati, Rini Nizar, Enny Insusanty

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 Ilmiah Ilmu-Ilmu Peternakan · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicAgricultural and Environmental Management
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsAgricultural scienceBusinessEnvironmental science

Abstract

fetched live from OpenAlex

Provinsi Riau saat ini banyak perkebunan kelapa sawit yang seharusnya sudah melakukan peremajaan (Replanting) ,tetapi banyak masyarakat yang tidak mau melakukannya karena tidak punya pendapatan atau berkurang pendapatannya sampai kelapa sawit dapat berproduksi, salah satu yang dapat menjadi sumber pendapatan bagi keluarga petani adalah dengan melakukan usaha ternak kambing. Penelitian ini bertujuan untuk menemukan sumber pendapatan petani saat kelapa sawit replanting melalui usaha ternak kambing. Penelitian ini menggunakan metode survey, pengambilan sampel secara purposive sampling, yang dijadikan sampel adalah petani yang memelihara kambing saat kelapa sawit replanting . data diperoleh menghitung pandapatan usaha ternak kambing . Data primer diperoleh langsung dari petani dan data sekunder diperoleh dari instansi dan dinas terkait dengan penelitian ini. Analisa dilakukan dengan menghitung sumber pendapatan petani, .Hasil penelitian ini menunjukan pendapatan petani dari memelihara ternak kambing saat kelapa sawit replanting RP 983.00 perbulan. dengan RCR 1,24.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.008

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 head0.011
GPT teacher head0.232
Teacher spread0.220 · 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