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Record W4224315459 · doi:10.1002/dev.22268

Practice does not make perfect: Juvenile object play does not improve the predation skills of adult mink in “simulated prey” tests

2022· article· en· W4224315459 on OpenAlexaff
Lauren Dawson, Rebecca K. Meagher, Jamie Ahloy‐Dallaire, Georgia Mason

Bibliographic record

VenueDevelopmental Psychobiology · 2022
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsUniversité LavalDalhousie UniversityUniversity of Guelph
Fundersnot available
KeywordsMinkPredationJuvenileBiologyZoologyAmerican minkTenacity (mineralogy)EcologyPsychology

Abstract

fetched live from OpenAlex

In carnivores, juvenile object play is hypothesized to improve the development of adult predation ability. We tested this hypothesis in a model carnivore, the American mink (Neovison vison). Play was induced via the provision of diverse "enrichment" objects to 32 litters from 4 to 15 weeks of age on a rotating schedule; control mink (32 litters) were instead provided with one static object. Behavioral observations confirmed that enriched juveniles engaged in more object play than control juveniles (p < .01). Tenacity, strength, and chasing motivations were assessed in 52 mink at 27-29 weeks of age using five "simulated prey" tests. These tests showed internal consistency, with measures from the same test being weakly to very strongly correlated (r or ρ: |.33-.95|). Across tests assessing similar skills, some measures of tenacity and strength were also moderately correlated. Treatment had little effect, however, other than on maximum force during vertical pulling, in which control mink unexpectedly scored higher (1.01 ± 0.06 kg vs. 0.84 ± 0.06 kg, p = .0458). Although we did not find evidence to support the hypothesis that object play leads to improved predatory skills, the tests developed have the potential to be used in humane, prey-free future investigations of predation abilities.

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 score0.739
Threshold uncertainty score0.709

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)0.0010.000

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 head0.019
GPT teacher head0.321
Teacher spread0.301 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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