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IDENTIFIKASI TIPOLOGI LOKASI TAMBAK UDANG DI KABUPATEN PADANG PARIAMAN

2022· article· id· W4388799599 on OpenAlex
Hamdi Nur, Roni Haryadi

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 GEOGRAFI · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanities

Abstract

fetched live from OpenAlex

Tambak udang berkembang pesat sejak tahun 2018 di pesisir pantai Kabupaten Padang Pariaman tetapi umumnya tidak berijin. Penelitian ini ingin menilai penyimpangan lokasi tambak terhadap rencana tata ruang yang ditetapkan dalam RTRW Kabupaten Padang Pariaman 2020-2040 dan pelanggaran prosedur perijinan yang dilakukan. Metoda yang dipakai yaitu tumpang susun peta lokasi tambak dengan rencana pola ruang RTRW Kabupaten dengan hasil kesesuaian/ketidaksesuaian lokasi tambak. Selanjutnya diidentifikasi status perijinan tambak yang telah memiliki ijin dan tidak berijin. Dari penggabungan dua variabel ini diperoleh empat tipologi lokasi tambak. Penelitian ini menemukan lokasi tambak berada di tujuh jenis peruntukan lahan, enam terindikasi tidak sesuai peruntukannya. Tiga per empat dari 93 tambak yang terdapat di Kabupaten Padang Pariaman belum berijin. Setengah dari tambak yang tidak berijin berada pada lokasi yang tidak sesuai tetapi sebagian yang lain meskipun tidak berijin berada pada lokasi yang sesuai. Beberapa temuan ketidaksesuaian pemanfaatan ruang pada kawasan yang sudah berijin lebih banyak disebabkan faktor teknis akurasi penentuan jarak lokasi dari titik pasang tertinggi.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.006
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.003

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 head0.011
GPT teacher head0.214
Teacher spread0.202 · 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