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Record W2150542895 · doi:10.1080/10888700701729106

Investigating Fear in Rainbow Trout (<i>Oncorhynchus mykiss</i>) Using the Conditioned-Suppression Paradigm

2008· article· en· W2150542895 on OpenAlexaff
Stephanie Yue, I.J.H. Duncan, Richard D. Moccia

Bibliographic record

VenueJournal of Applied Animal Welfare Science · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRainbow troutStimulus (psychology)PsychologyClassical conditioningAversive StimulusConditioningOperant conditioningDevelopmental psychologyFear conditioningAudiologySocial psychologyCognitive psychologyReinforcementNeuroscienceFish <Actinopterygii>MedicineBiologyMathematicsFishery

Abstract

fetched live from OpenAlex

Trout learned the operant task of pendulum-pressing for a food-reward in a mean of 4.3 sessions lasting 1 hr. In a separate phase, fish also learned--through classical conditioning--to associate a neutral light cue with an aversive stimulus. When again allowed to pendulum-press for food, after aversive classical conditioning, there was a drop in the rate of responding. The mean rate dropped from 3.6-2.9 responses per min. Most important, when the light-stimulus was superimposed on a steady bout of pendulum-pressing, trout ceased to press the pendulum and did not resume activity until termination of the light-stimulus (mean number of responses during a 3-min interval immediately prior to light-stimulus = 14.3 vs. during 3-min light-stimulus = 0.1). Psychologists have used this decrease in operant responding, or "conditioned emotional response," as a tool to examine the psychological nature of this type of aversive conditioning. In this study, the fish demonstrated various results under this paradigm similar to those shown by "higher" nonhuman animals, therefore challenging the view of fish as unconscious, nonsentient animals.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.302
Teacher spread0.280 · 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 designBench or experimental
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

Citations25
Published2008
Admission routes1
Has abstractyes

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