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Record W4391860751 · doi:10.37609/akya.979

Spor Bilimleri Araştırmaları

2022· book· tr· W4391860751 on OpenAlexaff
Mikail Tel, Refika Kanatlı, Çetin Tan, Ahmet Korkmaz, Fatma Gözlükaya Girginer, Tansu Yaan, Mehmet Ali Öztürk, Aydın İlhan, Halit Egesoy, Ayşegül Yapıcı, Sibel Tetik Dündar, Korhan Kavuran, Mustafa Sencer ULAMA, Mücahit Sarıkaya, Mert Embiyaoğlu, Hakan Yarar

Bibliographic record

Venuenot available
Typebook
Languagetr
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Atatürk ve Kişisel Gelişim Mikail TEL Refika KANATLI Çetin TAN Ahmet KORKMAZ Yüksek Şiddetli İnterval Antrenmanlar (YŞİA) ve Atletik Performans Fatma GÖZLÜKAYA GİRGİNER Yuksek İrtifada Antrenman ve Etkileri Tansu YAAN Mehmet Ali ÖZTÜRK Aydın İLHAN Sporcularda Sıvı Dengesi ve Fiziksel Performans Arasındaki İlişki Halit EGESOY Sporcularda Antrenman Maskesi Kullanımının Performans Üzerine Etkileri Ayşegül YAPICI ÖKSÜZOĞLU 400 Metre Engelli Koşuda Teknik ve Kinematik İnceleme Sibel TETİK DÜNDAR Futbolda Yaralanma Uzerine Araştırmalar Korhan KAVURAN 7-12 Yaş Cocuklarda Fizyolojik Farklılıklar ve Antrenmana Uyum (Atletizm Örneği) Ayşegül YAPICI ÖKSÜZOĞLU Sporda Ağrı, Şiddet ve Istırap Korhan KAVURAN Egzersizin Endokrin Sistem Üzerine Etkileri ve Hormonlar Mustafa Sencer ULAMA Mücahit SARİKAYA Mert EMBİYAOĞLU Sporcularda Uygulanan Farklı Masaj Tekniklerinin Performans ve Toparlanmaya Etkisi Üzerine Güncel Yaklaşımlar Fatma GÖZLÜKAYA GİRGİNER Tenisçilerin Duygusal Zeka Düzeylerinin İncelenmesi Aydın İLHAN Tansu YAAN Yaşlılarda Fizyolojik Değişimler ve Egzersiz Hakan YARAR

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.7790.004

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 head0.086
GPT teacher head0.281
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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