The New Pyrenees: Contemporary Conflicts around Patrimony, Resources and Urbanization
Bibliographic record
Abstract
Abstract In the last twenty years the Pyrenean social landscape has experienced a significant change associated with shifts on the uses of its natural resources. Communities previously characterized by their high rates of depopulation are now in a process of relative demographic recovery. This change is associated to a shift from primary economic activities such as ranching, timber extraction or agriculture to an economic model based on leisure and services. In other words, the current Pyrenees are not dominated by agro‐ranching practices. Nowadays the range is increasingly occupied by economic and social initiatives devoted to foster tourism and to cover the needs of visitors. In Spain this change has connected areas of the periphery of the countryside with its urban markets. It has moved the area from a set of marginal and unprofitable economic activities to a highly profitable market based on seasonal tourism and territorial speculation. The economic and symbolic reconstruction of the mountains from pastures into ski runs, for instance, has revealed all their economic potential in this globalized era of ours. This paper is focused in the Pallars Sobirà, a Western district of the Catalan Pyrenees. It explores the consequences of this reconfiguration of the natural resources of an area. Nature becomes patrimony: it is either protected through conservation policies designed by the state, or exploited by local or external corporations. In any case, these recent changes are having significant impacts on settlement patterns, community identity, and public policies.
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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 | 0.001 |
| 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 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".