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Record W2089047407 · doi:10.5539/ies.v6n10p124

The Cognitive Outcome in the Physical Games at the College of Students of the Basic Science in the World Islamic Sciences and Education University

2013· article· en· W2089047407 on OpenAlexvenueno aff
Ibrahim Salameh, Yaseen A. M. Al-Maharmeh, Mo’een Ahmad Oudat

Bibliographic record

VenueInternational Education Studies · 2013
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsnot available
Fundersnot available
KeywordsOutcome (game theory)PsychologyCognitionSample (material)Mathematics educationIslamPhysical educationField (mathematics)Physical science

Abstract

fetched live from OpenAlex

The study aimed at reconnoitering the cognitive outcome in the physical games at students of the college of basic science in the World Islamic Science and Education University. The descriptive method was employed, where the sample was randomly chosen, and amounted to (16) students (males & females) from the faculty. The sample discussed five primary dissensions: the physical, mental, emotional, and social and the educational side. The study deduced non-existence of differences with statistical indication at students of the faculty in what concerns the cognitive outcome of the physical games due to sex variable. The study results pin-pointed that the highest cognitive outcome was at the physical field following by the social field, and the lowest two fields in the cognitive outcome were on the educational field, then follows the mental field.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.052
GPT teacher head0.435
Teacher spread0.383 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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