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Record W4417142266 · doi:10.55259/jiip.v32i2.314

Analisis Karakteristik dan Potensi Lahan Pekarangan untuk Mendukung Penganekaragaman Konsumsi Pangan Keluarga di Kecamatan Kepil Kabupaten Wonosobo

2025· article· W4417142266 on OpenAlex

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 Ilmu-Ilmu Pertanian · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicFood Security and Socioeconomic Dynamics
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsYardDiversification (marketing strategy)AgricultureDominance (genetics)Food groupFood processing

Abstract

fetched live from OpenAlex

The potential of the yard contributes to food availability and diversification of food consumption. Utilization for agricultural activities will provide benefits in the form of the availability of healthy and nutritious fresh food. This study aims to analyze the characteristics and potential of yard land based on supporting the diversification of family food consumption in Kepil District. This study was conducted in Kepil District from March to June 2025. The study was conducted using a survey method, sampling with stratified random sampling. The results showed that the majority of yard land was in the narrow category with a dominance of the front zone for cultivating vegetables and spices. A total of 10 types of plants that are often found in more than 50% of yards in Kepil District are; red cayenne pepper, curly chili, spring onions, eggplant, tomatoes, celery, caisim, ginger, turmeric and lemongrass. Food diversification in Kepil District found 5 groups of fresh food from plants 5 types of cereal group food, 26 types of vegetable group food, 14 types of spice group food, 22 types of fruit group food, 1 type of freshener and sweetener group food, 1 type of poultry group food, 3 types of mammalian animal product group food, 3 types of fish group food. The pattern of utilization of food sources in the yard of Kepil District is as a source of carbohydrates 5.33%, fat 4.00%, minerals 49.33%, protein 9.33% and vitamins 32.00%.

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)0.000
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
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.002
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 head0.012
GPT teacher head0.235
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