A Companion to Spanish Environmental Cultural Studies
Bibliographic record
Abstract
An exploration of how writers, artists, and filmmakers expose the costs and contest the assumptions of the Capitalocene era that guides readers through the rapidly developing field of Spanish environmental cultural studies. From the scars left by Franco's dams and mines to the toxic waste dumped in Equatorial Guinea, from the cruelty of the modern pork industry to the ravages of mass tourism in the Balearic Islands, this book delves into the power relations, material practices and social imaginaries underpinning the global economic system to uncover its unaffordable human and non-human costs. Guiding the reader through the rapidly emerging field of Spanish environmental cultural studies, with chapters on such topics as extractivism, animal studies, food studies, ecofeminism, decoloniality, critical race studies, tourism, and waste studies, an international team of US and European scholars show how Spanish writers, artists, and filmmakers have illuminated and contested the growth-oriented and neo-colonialist assumptions of the current Capitalocene era. Focussed on Spain, the volume also provides models for exploring the socioecological implications of cultural manifestations in other parts of the world. CONTRIBUTORS: Eugenia Afinoguénova, Samuel Amago, Daniel Ares-López, Kata Beilin, John Beusterien, Miguel Caballero Vázquez, Jorge Catalá, Glen S. Close, Jeffrey K. Coleman, Jamie de Moya-Cotter, Ana Fernández-Cebrián, Ofelia Ferrán, Tatjana Gajic , Pedro García-Caro, Santiago Gorostiza, Germán Labrador Méndez, Maryanne L. Leone, Shanna Lino, Jorge Marí, José Manuel Marrero Henríquez, Maria Antònia Martí Escayol, Christine Martínez, Cristina Martínez Tejero, Micah McKay, Pamela F. Phillips, Mercè Picornell, Luis I. Prádanos, Cécile Stehrenberger, John H. Trevathan, Joaquín Valdivielso, William Viestenz, Maite Zubiaurre
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 teacher head, 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".