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Record W2116611122 · doi:10.1111/1365-2435.12007

Predator‐induced stress and the ecology of fear

2012· article· en· W2116611122 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFunctional Ecology · 2012
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsWestern UniversityUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsPredatorPredationBiologyEcologyPopulationCognitionChronic stressStress measuresStress (linguistics)NeuroscienceEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Summary Predator‐induced stress has been used to exemplify the concept of stress for close to a century because almost everyone can imagine the terror of fleeing for one's life from a lion or a tiger. Yet, because it has been assumed to be acute and transitory, predator‐induced stress has not been much studied by either comparative physiologists or population ecologists, until relatively recently. The focus in biomedical research has always been on chronic stress in humans, which most comparative physiologists would agree results from ‘ sustained psychological stress – linked to mere thoughts’ rather than ‘ acute physical crises’ (like surviving a predator attack) or ‘ chronic physical challenges’ (such as a shortage of food). Population ecologists have traditionally focused solely on the acute physical crisis of surviving a direct predator attack rather than whether the risk of such an attack may have a sustained effect on other demographic processes (e.g. the birth rate). Demographic experiments have now demonstrated that exposure to predators or predator cues can have sustained effects that extend to affecting birth and survival in free‐living animals, and a subset of these have documented associated physiological stress effects. These and similar results have prompted some authors to speak of an ‘ecology of fear’, but others object that ‘the cognitive and emotional aspects of avoiding predation remain unknown’. Recent biomedical studies on animals in the laboratory have demonstrated that exposure to predators or predator cues can induce ‘ sustained psychological stress’ that is directly comparable to chronic stress in humans, and this has now in fact become one of the most common stressors used in studies of the animal model of post‐traumatic stress disorder (PTSD). We review these recent findings and suggest ways the laboratory techniques developed to measure the ‘neural circuitry of fear’ could be adapted for use on free‐living animals in the field, in order to: (i) test whether predator risk induces ‘ sustained psychological stress’ in wild animals, comparable to chronic stress in humans and (ii) directly investigate ‘the cognitive and emotional aspects of avoiding predation’ and hence the ‘ecology of fear’.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.035
GPT teacher head0.262
Teacher spread0.227 · 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