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Los comienzos de la protección de las aves en España (1879-1936): Graells, el marqués de Cusano y las sociedades protectoras de animales

2020· article· en· W3113512469 on OpenAlexaboutno aff
Juan José Ferrero García

Bibliographic record

VenueLlull Revista de la Sociedad Española de Historia de las Ciencias y de las Técnicas · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsCharismaHumanitiesQuarter (Canadian coin)Political scienceArtGeographyLawArchaeology

Abstract

fetched live from OpenAlex

The history of the legal protection of birds in Spain during the second half of the twentieth century is well known, highlighting as relevant facts the foundation of the Spanish Ornithological Society (1954), the contribution of renowned scientists (especially José Antonio Valverde and Francisco Bernis), and the media impact of a charismatic character, Félix Rodríguez de la Fuente. But there were few works that addressed this issue in older times. However, recent studies, which are synthesized here, have revealed that previous efforts to protect an array of birds, considered useful to agriculture, were more intense and complex than previously believed. They were developed during the last quarter of the 19th century and the first third of the 20th, in line with similar international initiatives. Politicians and hunters such as Felipe Juez-Sarmiento (Marquis of Cusano), technicians and scientists, especially the prestigious zoologist Mariano de la Paz Graells (1809-1898), and animal protection societies participated in this process. Nevertheless, there was no coordinated action and no specific institutional structures were created. Finally, although some memorable results were achieved favouring the conservation of certain species, the protective impulse ended up blurred under the pressure of a powerful faction of the hunting sector.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.254
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueLlull Revista de la Sociedad Española de Historia de las Ciencias y de las TécnicasSame topicMediterranean and Iberian flora and faunaFrench-language works237,207