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Record W4404759688 · doi:10.5209/raso.98032

Los engaños temporales del oso. La producción de una reserva en el Pirineo catalán basada en la restauración de un paisaje

2024· article· es· W4404759688 on OpenAlexaff
Ferran Pons-Raga

Bibliographic record

VenueRevista de Antropología Social · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicUrbanism, Landscape, and Tourism Studies
Canadian institutionsMcGill University
FundersAgencia Estatal de InvestigaciónConsejo Superior de Investigaciones CientíficasMinisterio de Ciencia e InnovaciónMinisterio de Ciencia, Innovación y Universidades
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

El éxito biológico del programa de reintroducción del oso pardo en los Pirineos, pasando de cinco ejemplares en 1996 a más de setenta en la actualidad, contrasta con la permanencia de un conflicto social con el sector ganadero. Para entender mejor esa conflictividad, este artículo examina cómo la producción de la reserva del oso se basa en un engaño temporal: la restauración de un paisaje pretérito al amparo del discurso de la patrimonialización. Este análisis se desarrolla comparativamente con la producción de la reserva de Baqueira Beret, sustentada en el reemplazo de un pasado ganadero por un presente turístico. Sin embargo, desde el prisma de la historicidad etnográfica, tanto la restauración como el reemplazo se fundamentan en el engaño temporal de diluir los nexos entre pasado, presente y futuro propios de cualquier transformación paisajística.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.012
GPT teacher head0.343
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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