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Tinjauan Kritis Proses Penyusunan Rencana Tata Ruang Desa: Kasus Desa Jepitu, Kabupaten Gunung Kidul, Provinsi Daerah Istimewa Yogyakarta

2023· article· en· W4384344347 on OpenAlex
Syauqi Ahmada, Deva Fosterharoldas Swasto, Jimly Al Farabi

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

VenueJournal of Regional and Rural Development Planning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsContext (archaeology)Spatial planningTourismGeographyScope (computer science)Space (punctuation)Environmental planningNegotiationEnvironmental resource managementRegional sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

Spatial planning is an important policy in negotiating between increasing space requirements and existing space constraints. In the context of spatial planning at the village level, The Village Spatial Planning (VSP) can be one of solutions in solving spatial planning challenges in the scope of the village area. The existence of VSP has its pros and cons, due to the lack of empirical evidence on how village spatial planning should be done. This research aims to explain the background and process of preparing the VSP, as well as the factors that influence it based on inductive-qualitative approach. The research location was conducted in Jepitu Village, Gunung Kidul Regency, Yogyakarta Special Region Province. The consideration for choosing this location was due to various village management challenges that have the potential to impact space utilization, namely (1) Increasing the development of coastal tourism; (2) Southern Cross Road Program (SCRP); and (3) Village boundary issues related to the management of water resources. The data used are field observation data and in-depth interviews, and are supported by secondary data. The result of this research, there are internal factors and external factors that trigger the background for the preparation of the VSP. The internal factors consist of (1) Concerns of the Village Pamong; (2) Beach Tourism Area Management; (3) Economics; (4) Development Planning; and (5) Regional Mapping. The triggers from external factors, namely the presence of Supporting Agent. Meanwhile, the factors in the process of preparing the VSP, namely (1) Actors; (2) Community Participation; (3) Regional Mapping; and (5) Resistance. Based on the results of this study, VSP can be one of solution in solving various village area management challenges related to the provision spatial data on village boundaries and potentials to be used as a guide for village development planning.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.054
GPT teacher head0.323
Teacher spread0.269 · 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