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Record W4414807492 · doi:10.70716/jocdem.v1i5.290

Pendekatan Tata Ruang dalam Pengendalian Daerah Sempadan Sungai sebagai Area Resapan Banjir di Desa Beleka Lombok Tengah

2025· article· en· W4414807492 on OpenAlexaff
Muttaqin Muttaqin, Ayuni Farah, Ivan Muzaki

Bibliographic record

VenueJournal of Community Development and Empowerment · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFlood mythContext (archaeology)Flood controlLocal communityLocal governmentSpatial planningOutreachSustainable development

Abstract

fetched live from OpenAlex

Beleka Village, located in Central Lombok Regency, is an area with a high vulnerability to flood disasters, particularly around the riverbank buffer zones. This issue is exacerbated by land-use changes and the low public awareness of the importance of maintaining the ecological function of riverbank areas as water infiltration zones. This community service activity aims to educate the public and provide adaptive and sustainable spatial planning recommendations as part of flood control efforts. The approach used is participatory, involving outreach activities, participatory mapping, and focus group discussions (FGDs) with residents, community leaders, and village government officials. The results of the activity show that spatial planning approaches can improve community understanding of the strategic function of riverbanks and encourage the formation of local agreements to protect and rehabilitate these areas as conservation and flood infiltration zones. In addition, a draft spatial utilization plan was produced, based on disaster mitigation principles that integrate local wisdom and ecological aspects. This activity highlights the importance of synergy between scientific approaches and community participation in sustainable spatial management at the village level. It is hoped that this initiative can serve as a replicable model for other villages facing similar challenges, particularly in the context of flood control through spatial 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.

How this classification was reachedexpand

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.048
GPT teacher head0.262
Teacher spread0.214 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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