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Record W4399555810 · doi:10.1016/j.cogdev.2024.101461

Can Serena Williams’s tennis racquet make me a better tennis player? Beliefs about Ability Contagion in Children and Adults

2024· article· en· W4399555810 on OpenAlexafffundabout
Kristan A. Marchak, Marianne Turgeon, Merranda McLaughlin, Susan A. Gelman

Bibliographic record

VenueCognitive Development · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsRoyal Military College Saint-JeanUniversity of Alberta
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNatural Sciences and Engineering Research Council of CanadaUniversity of Michigan
KeywordsPsychologyDevelopmental psychologyCognitive psychology

Abstract

fetched live from OpenAlex

We examined U.S. and Canadian children’s ( n = 214) and adults’ ( n = 72) belief in ability contagion – an expected improvement in performance when using a celebrity’s object (e.g., superior tennis skills when using Serena Williams’s racquet). Four- to 7-year-olds preferred using a celebrity to a non-celebrity object, but their performance on a related task did not differ depending on which object they used (Study 1). Adults and 5- to 8-year-olds expected that a celebrity object would lead to superior performance in a forced-choice paradigm (Study 2), but not when given the option to state that the objects were the same (Study 3), even though adults and older children (> 7.01 years) judged the celebrity object to have an enhanced worth. We find that participants do not believe in ability contagion using either implicit or explicit measures. We discuss implications of our results for versions of contagion accounts of celebrity objects.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.221
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.205
Teacher spread0.195 · 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

Citations0
Published2024
Admission routes3
Has abstractyes

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