ROLE OF VILLAGE ORGANIZATION IN THE SUSTAINABLE MANAGEMENT OF NATURAL RESOURCES AND THEIR CONSTRAINTS IN VILLAGES (LILOWNAI, CHORBUT AND NOREPEZW) OF DISTRICT SHANGLA, KPK PAKISTAN
Bibliographic record
Abstract
The paper is presented to study the village organisations in the three villages of Lilownai, Chorbut and Norepeza. These village organization (VO) are involved in hill side management, being their major Natural resource. Apart from hill side management, these VO are also working on village development as a whole. These VO will be under taken various developmental activities in their villages, through donor financial support on cost share basis as well as on self-help basis. These VO are implementing the "Nagha" system for the protection of their hill side, till now, even after the withdrawal of SRSP assistance since July/2006 and have employed Chowkidars on self-help basis. All the villages are diverse in land use and type having different categories of stakeholders for Natural resource. The study conducted to explore the role of these village organizations in conservation of natural resources in the study area. The main objectives of this study were to: Compare the role of Village Development Communities Lilownai (VDCs) in sustainable management of natural resources with the past tradition systems. The constraints explored of VDCs Lilownai in Natural Resourse Management.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".