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Record W4327657998 · doi:10.30659/pondasi.v27i2.27516

MITIGASI BENCANA PERUBAHAN IKLIM DALAM PENGEMBANGAN DESA WISATA HIJAU DESA GONDANG KECAMATAN LIMBANGAN

2022· article· en· W4327657998 on OpenAlex
Jamilla Kautsary, Ardiana Yuli Puspitasari, Abdul Rochim ., Adelia Salsabila Anugrah, Feldian Hendargi

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

VenuePondasi · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTourismGeographyEnvironmental planningService (business)Flood mythBusinessEnvironmental resource managementEnvironmental protectionEnvironmental science

Abstract

fetched live from OpenAlex

Gondang Village is a tourist village in the upper part of Kendal district with high morphological characteristics (tends to be hilly). Gondang village is currently developing as a tourist village, only tourism that is developing leads to mass tourism which is oriented towards bringing in large numbers of tourists. This condition is certainly very contrary to efforts to develop tourist villages which place more emphasis on conservation aspects. The consequence is an increase in disaster risk, both in the form of increased run off during the rainy season (increased flood discharge) and drought during the dry season in shaded areas, as well as increased ground movement. This community service aims to find solutions so that tourism village development efforts can still run, but can reduce disaster risk by disaster mitigation. The disaster mitigation in question is by regulating land use based on multiple disasters and improving the structural design of tourism supporting facilities and infrastructure.

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)0.003
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.285
Teacher spread0.266 · 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