Pertimbangan Aspek Sosial Budaya dan Kearifan Lokal dalam Pengembangan Kawasan Danau Tempe Provinsi Sulawesi Selatan
Bibliographic record
Abstract
One of the potential regions in South Sulawesi Province is Tempe Lake region. The socio-cultural conditions of the local community can be an interesting matter to become a foundation in the regional development. The purpose of this study was to identify and to describe the form of community local wisdom in Tempe Lake region that can be considered in the regional development, to analyze the agricultural commodity that become the leading commodity, to identify the development level of rural, to analyze the contents of spatial plan policies that support the local wisdom aspects and to arrange Tempe Lake region’s development referrals with regard to local wisdom. The results showed that 7 local communities has a potential regarding local wisdom aspects. Commodities of fisheries and animal husbandry as leading commodities. Most of the rural areas in Tempe Lake region was at a low level of development. In the RTRW of Sidrap, Soppeng and Wajo Regency had found that assimilation element was the most heavily contented element in the three documents. The referrals of Tempe Lake region development with regard to local wisdom could be based on the local knowledge in regional development planning, natural resource management, local economic development, traditional settlements development, cultural village development, and protection of cultural sites.
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 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".