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Record W4404639938 · doi:10.55165/wjfsar.v4i04.343

الرياضة والصحة في النصوص الأدبية الموجهة للأطفال والشباب.

2024· article· ar· W4404639938 on OpenAlexaff
ليلة أجعود

Bibliographic record

VenueWisdom Journal For Studies & Research · 2024
Typearticle
Languagear
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsAssociation Québécoise des Enseignantes et des Enseignants du Primaire
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

يعدّ الأدب مرآة عاكسة للمجتمع منذ القدم، فلطالما عكس الثّقافة الشعبيّة للأمم والحضارات إذ وصف آمالهم وأحلامهم وتطلّعاتهم إلاّ أنّ موضوع الرّياضة كان موضوعا مهمّشا مقارنة مع القضايا الفكريّة والسّياسيّة والثّقافيّة للشّعوب وا لقبائل في الثّقافة العربيّة، ويتجسّد ذلك في أشكال أدبيّة عديدة كالرواية والشعر والقصة ومن الانواع الرياضية التي ركزت عليها هذه الاشكال ن جد الملاكمة وكرة القدم والجمباز ويكمن أهمية هذا الموضوع في ربطه بفئة الشباب والمجتمع كما أنه موضوع حيوي ترفيهي بعيد عن السياسة وم شاكل الامة باختلافها اما عن النتائج التي توصلنا اليها فتتمثل في ان علاقة الادب العربي بالرياضة قديمة وقد ركزنا على مجموعة من الانواع الرياضية منه ا : الملاكمة وكرة القدم وركوب الخيل، كما دعت مجموعة من الاشكال الأدبية، الشعر والرواية الأطفال الى ممارسة الرياضة نظرا لاهميتها على صحة الانسان ونمط عيشه.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.300
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.3000.336

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 head0.171
GPT teacher head0.472
Teacher spread0.300 · 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.

Study designNot applicable
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 routes1
Has abstractyes

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