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Record W3136131506 · doi:10.33921/vfus8285

The Influence of Perception on Student-Athletes’ Motivation and Relationship with Coaches — Student-Athlete’s Perception

2017· article· en· W3136131506 on OpenAlexvenueno aff
Zipporah Rebekah Foster, Amber De Bono

Bibliographic record

VenueJournal of Interpersonal Relations Intergroup Relations and Identity · 2017
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesPsychologyPerceptionApplied psychologyPhysical therapyMedicine

Abstract

fetched live from OpenAlex

The present study was created to better understand the influence of coaches on student-athlete’s motivation. The goal of this study was to determine how the student-athlete’s motivation level is affected by the type of relationship between the coach and the student-athlete in comparison to non-athletes. The hypothesis is that athelete status (student-athlete or non-athlete) impacts perceived motivation when faced with a particular coach (“supportive” or “non-supportive”). The approach was to conduct a two-group experiment providing participants with two different scenarios. One of two scenarios was presented to manipulate the perception of a coach. Forty participants participated in this study. The recruited participants were either student- athletes or non-athletes. All participants were recruited from a Historically Black Institution; 58% were male, 42% female. The results indicate that the type of coach will differently impact a student-athlete’s motivation than a non-athlete. More specifically, both student-athletes and non-athletes perceive a “supportive” coach to be more supportive; however student-athletes perceive “non-supportive” coaches to be less encouraging than non-athletes. The findings from this study suggest that student-athletes and non- athletes perceive a non-supportive coach differently.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.335
Teacher spread0.308 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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