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Public perceptions of jaguars Panthera onca, pumas Puma concolor and coyotes Canis latrans in El Salvador

2011· article· en· W1583289313 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArea · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsJaguarCarnivoreCanisGeographyPopulationPantheraPumaSocioeconomicsPredationEcologyDemographyBiologySociology

Abstract

fetched live from OpenAlex

High human population density, histories of social conflict, environmental change and negative social attitudes are crucial issues for large carnivore conservation and reintroductions, which may be influenced by human age and gender, animal size and behaviour. Jaguars and pumas are extinct in El Salvador, but conservation and reintroduction schemes are debated across Central and South America. This paper examines public attitudes in El Salvador towards the extinct jaguars and pumas, and the fairly common coyote. One hundred and thirteen people were contacted and classified according to age and gender in San Salvador, La Union, Ahuachapan, Apopa, San Miguel and Santa Ana. The majority of people believed: in the toleration and removal of carnivores rather than shooting; in the introduction of jaguars and pumas into rural and special areas and zoos; that more animal protection was necessary; that the animals were good for human life, yet dangerous to children. Pumas were seen as the most dangerous, followed by jaguars and coyotes, but in most cases all three were seen as similar. Women were less tolerant of large carnivores, were more sensitive to negative impacts, and were more afraid of the animals than men. Younger people were more tolerant, and saw less danger to other animals and people, and were more supportive of animal reintroductions. Gender was irrelevant in the trapping and removal, and shooting of animals, protection levels, reintroductions and dangers to people and cattle. Age was irrelevant to animal protection levels, dangers to people and impacts on human quality of life. These findings are important for conservation policy and environmental geography.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.227
Teacher spread0.181 · 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