Sustainability Management of Teluk Benderas Lake, Rantau Baru Village, Pangkalan Kerinci District, Riau Province
Bibliographic record
Abstract
Most oxbow-lakes, spreading out in the riparian of Kampar river, were ecologically unsustainable due to social and anthropological reasons including intensive agriculture in the upper land, extensive urban around the lakes.Published papers suggested that the oxbow lakes ecosystem were degraded, biodiversity of the aquatic fauna were in adversity.Those threats have social economical affect on the local community.The present paper analyzes the sustainability of Teluk Benderas Lake, an riparian oxbow lake of Kampar, Pangkalan Kerinci District, Riau.The sustainability were analyzed from the perspective of ecological, economical, sociocultural, legal-institutional and technological.Sustainability analysis was carried out using the MDS (Multidimensional Scaling) analysis approach with the help of RapOxbow software (modified Rapfish).It revealed that based on ecological, economical, technological dimensions, the lake standing were unsustainable, with sustainability index of 29.8%, 30.0%, 44.3%, respectively.Meanwhile, the sustainability index of socio-cultural and legal-institutional, appeared 65.6%, 51.3%, respectively (fairly sustainable).It is suggested that 11 the driving variables that have been identified, should be evaluated and managed holistically in order to improve and enhance the sustainability of Lake ecosystem.In short, the role of local government were of important on this matter.Accordingly, the strategy and management plan and action plan for the Teluk Benderas Lake ecosystem need to be implemented integratedly by developing (a) sustainable small scale fisheries business (b).developing of alternative income generations (c) strengthening the role of traditional leaders and institutions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".