Conservation of the Asiatic lion: integrating the vision of park authorities with the values of local communities
Bibliographic record
Abstract
The Gir Protected Area in Gujarat, India, is the last remaining shelter of the Asian lion (Panthera leo persica). This article presents different visions on lion conservation and ecosystem management practices of the Maldhari people. We analysed how these could be incorporated in the management of local wildlife. The field study was undertaken in the state of Gujarat, India, over a period of 2 months in 2003 and 1 month in 2008. Data were collected through individual semi-structured interviews with 35 villagers living at the periphery of the Gir National Park. Group discussions were also organised with villagers living inside this protected area. The socio-economic repercussions of conservation on the Maldharis' livelihood were assessed by analysing factors such as access to basic needs, land use and natural resources in the forest. Changes within the Maldhari households resulting from delocalisation policies were also analysed. Results show that the cultural values of the Maldharis play an important role in maintaining the area's ecological balance. Interview results highlight how the majority of the Maldharis, especially the elderly, consider the lions to be an integral part of their environment. This article shows that interactions between the lions and humans still represent an important aspect of the culture and local history of the Maldharis. It is important to rethink the current top-down conservation approach by adopting a more collaborative approach that integrates the vision on lion conservation of both park authorities and local communities.
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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 | 0.003 | 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 | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".