Consuming Space, Nature and Culture: Patrimonial Discussions in the Hyper-Modern Era
Bibliographic record
Abstract
This paper reflects on what is called the process of ‘patrimonialization’ of culture and nature currently taking place in the Western mountainous inlands of the Spanish Eastern Pyrenees. Landscapes, as cultural and historical formations, are presently being commodified and connected to global networks of consumption dominated by urban and ‘postmaterialistic’ values. Conservation policies, ski resorts and cultural museums are mushrooming in previously ‘abandoned’ agricultural fields or vacated factories. This shift from agriculture, ranching and industry, to conservation and services marks the connection of the Pyrenean valleys to global modernity and to the hyper-modern era. These processes of transformation have been depicted generally as structural processes of unilateral redefinition of the urban–rural divide: redefinition that results in direct urban appropriation. Rural populations, however, are far from passive subjects of external influences. The analysis of local agency suggests a more complicated picture in which local economic and cultural choices are included as explanatory variables. The story of the connection of these spaces to regional and global networks is not only a story about local dispossession, but also about local ingenuity. The globalization of the economy in the early 1970s disempowered and relegated these areas to the periphery of the economic system. The consolidation of a global modernity articulated around the need to provide leisure has opened a venue for these areas to reconnect themselves to the central networks and to attract large amounts of resources from these urban-dominated economic systems.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.075 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| 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".