Commons becoming non-commons in the efforts for reconciliation between conservation and livelihoods: A case study of northern Pakistan
Bibliographic record
Abstract
The paper examines the impact of converting previous open-access common land into protected areas on the community resource management system in Shimshal, northern Pakistan. We explored three main questions in this regard. First, what happens to community resource management under strict government control of the resource? Secondly, what has happened to the centuries-old practice of the traditional yak herding system of the Shimshal community as a result of the introduction of new policies leading to the creation of protected areas? Thirdly, can the community retain resource control of the protected area (state property), and how can we conceptualize it under the property regime? The research draws the following three conclusions: (1) a clear divide exists between the local government and the community on resource management and resource use, (2) the Shimshal community relies significantly on yaks for their livelihood, and the imposition of new rules and regulations in protected areas has significantly altered the Shimshal community’s traditional yak herding practices, and (3) community control over resources in protected areas would be a new experiment under the state property regime. The study concludes that it is possible to bridge the gap between what have been regarded as irreconcilable principles of protected areas and livelihoods. This arrangement needs to be contextualised by giving specific importance to the community and their management practices. The state would achieve its conservation goals by monitoring the local community’s activities and ensuring that their livelihoods and conservation efforts do not negatively affect each other.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".