Nuevos paisajes, viejos modelos. Una mirada al Lago de la Mina de As Pontes. New Landscapes, Old Models. A Glance at the Lake of As Pontes' Mine
Bibliographic record
Abstract
A finales de los años sesenta del siglo pasado, el artista Robert Smithson expuso un nuevo modo de mirar los restos abandonados de la industria. Poco después, en Seattle, tomó forma un prototipo de parque público que fue desarrollándose posteriormente. Han pasado más de cuarenta años y los parques postindustriales son ya comunes en nuestras ciudades, si bien es verdad que siguen sorprendiendo a muchos. A partir de la restauración paisajística de la mina de As Pontes (Galicia), nos acercamos al paisaje desde una doble vertiente: por un lado, al paisaje como concepto artístico y por otro, al territorio configurado desde sus principios ecológicos. Desde aquí, invitamos al lector a reflexionar sobre la mirada y el papel de la naturaleza en la construcción del paisaje actual, planteando la posibilidad de hallarnos ante un cambio de modelo. At the end of the 60's of the 20th century, the artist Robert Smithson presented a new way of looking at the industrial waste. Shortly afterwards, a public park prototype took shape in Seattle, which was subsequently developed. More than forty years later, postindustrial parks have become common in our cities, even though they are still amazing for many people. Taking as an example the environmental restoration carried out in As Pontes' Mine (Galicia), our approach to the landscape is twofold: on the one hand, landscape is approached as an artistic concept, and on the other hand, we have considered the manner in which landscape is built from its very environmental principles. The objective of this article is to invite readers to reflect on our glance and on the role of nature in the construction of today's landscape, while raising the possibility of facing a paradigm shift.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".