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Record W1127676024 · doi:10.1163/1568539x-00003307

Play, variation in play and the development of socially competent rats

2016· article· en· W1127676024 on OpenAlexaff
Stephanie M. Himmler, Brett T. Himmler, Vivien C. Pellis, Sergio M. Pellis

Bibliographic record

VenueBehaviour · 2016
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsVariation (astronomy)JuvenilePsychologyDevelopmental psychologyPrefrontal cortexPeriod (music)Inclusion (mineral)BiologyNeuroscienceCognitionSocial psychologyEcology

Abstract

fetched live from OpenAlex

Studies on laboratory rats (Rattus norvegicus) have revealed that experience with social play in the juvenile period is important for the development of improved social skills, an improvement that appears to be mediated by the prefrontal cortex. But there is much variation in both the frequency with which play occurs and in the complexity of the actions performed among different strains of rats. Is all this variation adaptive in serving play’s critical developmental role? The integrative approach advocated by Tinbergen provides a framework with which to assess such variation. A review of what is known and the inclusion of some novel data suggest that irrespective of the form of the play, rats of all strains converge on the same key experiences, experiences that have been implicated in the development of social skills. The lessons learnt from rats may serve as a guide for broader cross-species comparisons.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 studies0.0000.001
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 head0.033
GPT teacher head0.317
Teacher spread0.283 · 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

Citations57
Published2016
Admission routes1
Has abstractyes

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