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Record W4367291445 · doi:10.31289/agri.v4i1.7173

Analisis Wilayah dan Kontribusi Kakao Terhadap Pembangunan Daerah di Kabupaten Parigi Moutong

2022· article· id· W4367291445 on OpenAlex
Virda Zikria

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 Agriuma · 2022
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Kakao merupakan salah satu komoditas perkebunan selain kelapa sawit, karet dan kopi yang memiliki peranan penting dalam perekonomian nasional dalam menghasilkan devisa negara, menyerap tenaga kerja serta sebagai penyedia bahan baku industri cokelat. Penelitian ini bertujuan untuk mengidentifikasi wilayah basis produksi komoditas kakao serta peranan kakao dalam mendukung pembangunan wilayah Kabupaten Parigi Mautong. Data yang digunakan adalah data sekunder periode waktu tahun 2017-2021. Metode analisis data yang digunakan adalah analisis location quotient, lokalisasi, spesialisasi, analisis rasio layanan dasar dan regional multiplier. Hasil penelitian menunjukkan bahwa daerah basis komoditas kakao di Kabupaten Parigi Moutong ada 12 kecamatan sehingga usahatani komoditas kakao tidak terkonsentrasi atau tidak terpusat hanya pada satu wilayah namun tersebar di beberapa wilayah kecamatan yang ada di Kabupaten Parigi Moutong. Usahatani komoditas kakao di wilayah basis tidak menspesialisasikan pada usahatani kakao. Komoditas kakao berperan dalam pembangunan wilayah dan ekonomi Kabupaten Parigi Moutong.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.215
Teacher spread0.195 · 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