KENDALA PEMERINTAH KOTA PADANG DALAM MENANGGULANGI BENCANA ABRASI SEPANJANG KAWASAN PANTAI PURUS DI KOTA PADANG
Bibliographic record
Abstract
Indonesian is a country that has very many islands and has the longest coastline after Canada. Of the many islands located in the territory of Indonesia, not all of the beaches are well preserved, even many of the beaches have suffered damage caused by coastal abrasion, one of which is the purus beach in the city of Padang. Abrasion is an erosion that often occurs in coastal areas caused by ocean waves over a long period of time and can also be caused by human activity itself. The purpose of this research is to determine the obstacles faced by the Padang city government in overcoming abrasion disasters along the purus beach area in the city of Padang. The results show that there are several obstacles that are being faced by the Padang city government in overcoming the abrasion disaster, namely the funds owned by the Padang city government are insufficient in carrying out abrasion disasters and the equipment used is also very limited so that the Padang city government in dealing with abrasion disasters on the coast purus according to the existing equipment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".