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Record W4206616361 · doi:10.36456/jpb.v2i1.4232

Valuasi Ekonomi Konversi Lahan Pertanian Di Kawasan Aerotropolis Kulon Progo

2021· article· en· W4206616361 on OpenAlex
Awani Dilha Merdekawati

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 Plano Buana · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsValuation (finance)AgricultureHuman settlementBusinessGeographyAgricultural economicsAgricultural scienceEnvironmental scienceEconomics

Abstract

fetched live from OpenAlex

The construction of the Yogyakarta International Airport (YIA) in Temon District, Kulon Progo Regency has various impacts, one of which is the growth of the aerotropolis area which causes changes in land use. The conversion of land use, causing any difference in economic valuation. The purpose of this research is to determine the impact of agricultural land conversion through economic value of the Kulon Progo aerotropolis area, with case studies in Palihan, Sindutan, Jangkaran, Kebonrejo and Glagah village. This research uses a non-empirical study method while research approach uses a mixed quantitative and qualitative approach. The analysis used in the form of land use change by digitizing the image (CSTR) of land and geo-referencing overlay in ArcGis, as well as economic valuation analysis. The result shows that changes in economic value have decreased for the use of agricultural and pond fields, while for settlements, the economic value after the construction of YIA has increased.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

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

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 head0.200
Teacher spread0.181 · 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