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Record W4384212265 · doi:10.22437/ijssc.v4i1.18187

Pemasalan Cabang Olahraga Anggar Pada Siswa-Siswi SMP di Kecamatan Nipah Panjang Kabupaten Tanjung Jabung Timur

2022· article· id· W4384212265 on OpenAlexaff
Nurul Hidayatul Isnaini, Grafitte Decheline

Bibliographic record

VenueIndonesian Journal of Sport Science and Coaching · 2022
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsMathematicsArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk memasalkan atau memasyarakatkan olahraga anggar pada siswa-siswi SMP yang ada di kecamatan nipah panjang guna mengenalkan adanya olahraga anggar di provinsi jambi ini. Penelitian ini merupakan jenis penelitian kualitatif dengan lokasi penelitian di SMP yang ada di Kecamatan Nipah Panjang Kabupaten Tanjung Jabung Timur. Hasil dari penelitian ini terdapat hasil 95% untuk penilaian kegiatan pemasalan yang dilakukan oleh peneliti “sangat baik”, 3.30% untuk penilaian baik, serta 1.70% untuk penilaian cukup. Maka dapat disimpulkan bahwa kegiatan pemasalan cabang olahraga anggar yang dilakukan pada siswa-siswi SMPN di Kecamatan Nipah Panjang Kabupaten Tanjung Jabung Timur telah dinyatakan ”Sangat Baik” dilakukan dan efektif serta direspon positif untuk proses memasyarakatkan cabang olahraga anggar itu sendiri dengan di buktikan oleh hasil penilaian responden sebesar 95%.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.004

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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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