MétaCan
Menu
Back to cohort
Record W1990910754 · doi:10.1163/156853906778607408

Threat-sensitive learning of predator odours by a prey fish

2006· article· en· W1990910754 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

VenueBehaviour · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Saskatchewan
KeywordsPikeEsoxPredationXiphophorusPredatorBiologyFish <Actinopterygii>EcologyZoologyFishery

Abstract

fetched live from OpenAlex

[Many prey animals have a remarkable ability to match the intensity of their behavioural responses to the degree of threat posed by specific predators. However, little is known about how such threat-sensitive predator avoidance develops. In a series of laboratory experiments we tested whether goldfish (Carassius auratus) could learn to recognize predator odours in a threat-sensitive manner. We exposed predator-naive goldfish to various concentrations of chemical cues of pike (Esox lucius) fed goldfish and pike fed another fish diet (swordtails,Xiphophorus helleri). During the conditioning trials goldfish showed behavioural responses to pike fed goldfish but not to pike fed swordtails. Moreover, the intensity of the responses to pike cues increased as the concentration of pike cues increased. Subsequent test trials showed that goldfish that had originally been exposed to pike fed goldfish showed responses to pike fed swordtails, indicating learned recognition of the pike as a predator. Of particular importance, the intensity of the learned responses by the goldfish matched the intensity of the responses observed in the original conditioning trials, thereby demonstrating threat-sensitive learning. Prey should have a selective advantage if they are able to adjust the intensity of their anti-predator response to match the threat posed by their predators. Our preliminary investigations revealed that this threat-sensitive learning has important survival implications during encounters with pike., Many prey animals have a remarkable ability to match the intensity of their behavioural responses to the degree of threat posed by specific predators. However, little is known about how such threat-sensitive predator avoidance develops. In a series of laboratory experiments we tested whether goldfish (Carassius auratus) could learn to recognize predator odours in a threat-sensitive manner. We exposed predator-naive goldfish to various concentrations of chemical cues of pike (Esox lucius) fed goldfish and pike fed another fish diet (swordtails,Xiphophorus helleri). During the conditioning trials goldfish showed behavioural responses to pike fed goldfish but not to pike fed swordtails. Moreover, the intensity of the responses to pike cues increased as the concentration of pike cues increased. Subsequent test trials showed that goldfish that had originally been exposed to pike fed goldfish showed responses to pike fed swordtails, indicating learned recognition of the pike as a predator. Of particular importance, the intensity of the learned responses by the goldfish matched the intensity of the responses observed in the original conditioning trials, thereby demonstrating threat-sensitive learning. Prey should have a selective advantage if they are able to adjust the intensity of their anti-predator response to match the threat posed by their predators. Our preliminary investigations revealed that this threat-sensitive learning has important survival implications during encounters with pike.]

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.327

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)0.0000.000

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 head0.014
GPT teacher head0.218
Teacher spread0.204 · 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