From present to future development pathways in fragile mountain landscapes
Bibliographic record
Abstract
Mountains are dynamic landscapes that are home to rich natural and human heritage. However, climatic variability, globalisation and increasing ecomomic integration are making these landscapes more fragile with implications for present and future development. Using a pathways lens, we examine development trajectories in mountains and relate these to environmental and social-economic change currently taking place. We analyse and compare pathways in three case studies in Peru (Andes); Nepal (Himalayas); and Kyrgyzstan (Tien Shan). The paper highlights that development pathways in fragile mountain regions may be shifting in new directions, but because they emerge out of complex socio-environmental and historical contexts, there are also social risks associated with the articulation of future pathways, particularly in terms of social equity and sustainability. Building on different pathway approaches with their various strengths and weaknesses, this study examines the role of human agency and power, the role of historical and present context and feedbacks between social and ecological features in shaping future development pathways of mountain landscapes.
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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 | 0.001 | 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 | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".