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Record W2344946015 · doi:10.1123/tsp.2015-0097

Examining the Effects of Normative Messages on Perceived Effort in Sport

2016· article· en· W2344946015 on OpenAlexaff
Alyson Crozier, Kevin S. Spink

Bibliographic record

VenueThe Sport Psychologist · 2016
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNormativePsychologySocial psychologySocial norms approachPerceptionRecreationAthletesNorm (philosophy)Normative social influenceControl (management)ReceiptApplied psychologyComputer science

Abstract

fetched live from OpenAlex

The primary purpose of this research was to examine the influence of different normative (descriptive, injunctive) messages on individual self-reported effort in sport. Adult recreational volleyball athletes ( n = 58) reported their self-perceived effort, were randomly assigned through their team designation to one of three conditions (descriptive norm, injunctive norm, control) and then received multiple e-mail messages specific to their condition motivating them to work hard. Participants reported their self-perceived effort a second time after receipt of these messages. The results from a one-way ANCOVA, controlling for initial perceived effort, revealed that those in the normative conditions reported greater perceived effort than those in the control condition. Preliminary evidence is provided suggesting that individual self-reported effort may be significantly impacted by the perception of what others are doing and what others approve of within that environment (i.e., normative information).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.314
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 teacher head, not a consensus.

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

Citations12
Published2016
Admission routes1
Has abstractyes

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