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Record W1545978805 · doi:10.5539/ass.v11n16p294

Do Extra-Curricular Activities Effect Student Leadership in Institutions: Sport?

2015· article· en· W1545978805 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyInstitutionQuality (philosophy)HappinessPerceptionPsychomotor learningFluencyPedagogyPublic relationsSocial psychologyMathematics educationPolitical scienceLawCognition

Abstract

fetched live from OpenAlex

“Does sport have an effect on student leadership?” or “Does sport really help in shaping a leader?” are the questions that still cannot be reveal clearly. Many studies have been done to answer this question but it does not seem to have a final and complete answer. This is because some of the research has come out with the conclusion that sport really does help in creating a quality leader and some of it does not agree with this. This is because, they found out that sport only helps in the students’ physical achievement not in their leadership skills. Physical activity can improve psychomotor skill, fluency of blood flowing through the whole body, calming our thinking, awake happiness and upgrade academic performance (Taras, 2005). This paper will help in explaining what is really meant by leadership, student perceptions of leadership, extra-curricular, the benefit of extra-curricular, how curricular affect leadership, leadership in institution’s associations, sports, and sport leadership.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.326
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.172
GPT teacher head0.445
Teacher spread0.273 · 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