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Record W6982858108

KONTRIBUSI FLEKSIBELITAS TERHADAP KECEPATAN RENANG GAYA DOLPHIN (TANPA GERAKAN TANGAN ) PADA
\nMAHASISWA PENJAS UNILA ANGKATAN 2012
\nTAHUN AJARAN 2013

2014· other· id· W6982858108 on OpenAlexaff

Bibliographic record

VenueDigilib Repository Unila (Lampung University) · 2014
Typeother
Languageid
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNucleofectionGestational periodTSG101PretextFusible alloyDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui Kontribusi Fleksibelitas terhadap kecepatan renang gaya dolphin (tanpa gerakan tangan ) pada Mahasiswa penjas unila angkatan 2012 Tahun ajaran 2013
\nMetode penelitian yang digunakan adalah penelitian kwantitatif, serta menggunakan pada Mahasiswa penjas unila angkatan 2012 Tahun ajaran 2014. Populasinya merupakan populasi sample yang berjumlah 60 mahasiswa.
\nDari hasil penelitian di dapat bahwa ada Kontribusi Fleksibelitas terhadap kecepatan renang gaya dolphin (tanpa gerakan tangan ) sebesar 0,73 (53,29 %). Hal ini berarti adanya hubungan yang positif antara Fleksibelitas terhadap kecepatan renang gaya dolphin (tanpa gerakan tangan ) cabang olahraga renang. Oleh karena itu seorang pelatih atau guru agar dapat meningkatkan kemampuan Fleksibelitas dengan memberikan latihan yang sifatnya melatih Fleksibelitas tanpa melupakan komponen yang lainnya.
\nKesimpulan dari penelitian ini adalah Fleksibelitas memberikan hubungan yang positif terhadap kecepatan renang gaya dolphin (tanpa gerakan tangan ) pada Mahasiswa penjas unila angkatan 2012 Tahun ajaran 2013
\nKata kunci: Renang, Gaya Dolphin Fleksibelitas dan Kecepatan

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
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.951
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.002
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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
Published2014
Admission routes1
Has abstractyes

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