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PERSPEKTIF MASYARAKAT, PELAJAR, DAN ATLET MENGENAI PENTINGNYA PEREGANGAN

2023· article· id· W4322745142 on OpenAlexaff
Kiki Alghifari Azfa Priatna, Faqih Hidayat, Nasywa Nurul Fatonah, Muhammad Akmal Syabani, Zidan Muhammad Zulfiqor, Ahmad Fuadin

Bibliographic record

VenueJurnal Jendela Inovasi Daerah · 2023
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Penelitian ini berisi tentang berbagai perspektif dari para partisipan mengenai pentingnya peregangan sebelum berolahraga. Tujuan dari penelitian ini untuk mengetahui seberapa pentingnya peregangan bagi para partisipan dan apa saja yang dialami partisipan ketika berolahraga tanpa melakukan peregangan. Penelitian ini menggunkan Metode Penelitian Kuantitatif (Metode Survey) berupa Google Form/angket yang disebarkan melalui sosial media (Whatsapp, Instagram ataupun media sosial lainnya). Masyarakat, pelajar dan atlet yang menjadi objek dalam penelitian ini dengan latar belakang cabang olahraga yang berbeda dan rentan usia partisipan dari 16-35 tahun. Hasilnya mayoritas partisipan dengan persentase 95,2% menganggap bahwa peregangan itu sangat penting. Namun meskipun dianggap sangat penting, tak sedikit dari partisipan yang jarang dan bahkan tidak sama sekali melakukan peregangan sebelum berolahraga. Hasilnya cedera ringan sampai parah tak bisa dihindarkan oleh para partisipan. Selain cedera, para partisipan yang tidak melakukan peregangan juga mengalami ketidaknyamanan saat berolahraga dari mulai otot mudah lelah, mudah mengalami nyeri, otot kaku, detak jantung meningkat dan pernapasan tak teratur. Mayoritas partisipan melakukan peregangan dalam jangka waktu 5-10 menit.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0130.017

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 head0.114
GPT teacher head0.445
Teacher spread0.331 · 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
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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