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Record W2799527262 · doi:10.1163/1568539x-00003495

The function of play bows in Canis lupus and its variants: a comparison of dingo (Canis lupus dingo), dog (Canis lupus familiaris) and wolf puppies (Canis lupus)

2018· article· en· W2799527262 on OpenAlexaff
Sarah‐Elizabeth Byosiere, Julia Espinosa, Bradley Smith

Bibliographic record

VenueBehaviour · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCanisDingoSystemic lupus erythematosusSubspeciesZoologyBiologyEcologyPredationMedicine

Abstract

fetched live from OpenAlex

Abstract Play bows represent a common, highly stereotyped behaviour across the genus Canis . However, much of what we know is limited to the wolf and its domestic derivative, the domestic dog. Here we continue to look at the function of play bows among subspecies/variants of Canis lupus by including the dingo. Comparing dingoes to wolves and dogs may provide further insight into the impact of domestication on play behaviour. We analysed play bows in three-to-six month old dingo puppies and compared the results to previous studies of wolves and dogs. The function of play bows in dingoes appears consistent with those observed in dogs and wolf puppies. However, subtle intraspecific differences (such as the frequency and duration of play bows, and vocalizations during play) were apparent, and warrant further investigation in the genus Canis , as well as the Family Canidae more broadly.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.022
GPT teacher head0.328
Teacher spread0.307 · 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 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

Citations10
Published2018
Admission routes1
Has abstractyes

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