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Record W4312808871 · doi:10.46867/c42305

Social Influences on the Food Preferences of House Mice ( Mus Musculus )

2012· article· en· W4312808871 on OpenAlexafffund
Paola Valsecchi, Bennett G. Galef

Bibliographic record

VenueInternational Journal of Comparative Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsHouse miceFood preferencePreferencePet foodPsychologyContaminated foodBiologyAnimal behaviorZoologyFood science

Abstract

fetched live from OpenAlex

In a series of studies undertaken to determine the conditions under which naive house mice (observers) develop preferences for foods eaten by recently-fed conspecifics (demonstrators), we found that observer mice exhibited enhanced preference for a food following interaction with either a healthy or an ill recently-fed demonstrator that had eaten that food. We also found that house mice developed an enhanced preference for a food after exposure to an anesthetized conspecific demonstrator powdered with that food, but not after exposure to a cotton-batting, conspecific-sized surrogate powdered with the same food. Results of other studies have indicated that, for both rats and mice, the presence in a food of carbon disulfide (a substance found on the breath of rats) increases preference for a carbon-disulfide-contaminated food. taken together, the parallels between Norway rats and house mice in social learning processes suggest homologous rather than analogous systems of communication about distant foods in these two murid rodents.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.985

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 science0.0010.000
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 head0.190
GPT teacher head0.477
Teacher spread0.286 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations59
Published2012
Admission routes2
Has abstractyes

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