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Record W7110609775

STRATEGI PEMBELAJARAN VOKAL PADA ANGGOTA MUDA UNIT KEGIATAN MAHASISWA (UKM) PADUAN SUARA MAHASISWA UNIVERSITAS LAMPUNG

2025· other· W7110609775 on OpenAlexaboutno aff

Bibliographic record

VenueDigilib Repository Unila (Lampung University) · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsUnit (ring theory)
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mendeskripsikan bagaimana strategi yang digunakan oleh pelatih dalam proses pembelajaran vokal pada anggota muda Unit Kegiatan Mahasiswa (UKM) Paduan Suara Mahasiswa Universitas Lampung. Hal ini dilatarbelakangi oleh banyaknya prestasi yang diraih oleh Paduan Suara Mahasiswa Universitas Lampung baik secara nasional maupun internasional. Subjek dalam penelitian ini yaitu anggota muda Unit Kegiatan Mahasiswa (UKM) Paduan Suara Mahasiswa Universitas Lampung. Objek dari penelitian ini yaitu strategi pembelajaran yang digunakan pada pembelajaran vokal. Penelitian ini menggunakan metode deskriptif kualitatif. Data penelitian diperoleh melalui observasi, wawancara, dan dokumentasi. Analisis data menggunakan analisis mode Miles dan Huberman. Keabsahan data diuji menggunakan triangulasi teknik. Hasil penelitiannya adalah berdasarkan lima macam strategi pembelajaran menurut Saskatchewan (Panggabean, 2021) terdapat empat macam strategi pembelajaran yang digunakan oleh Paduan Suara Mahasiswa Universitas Lampung. Strategi tersebut diantaranya adalah strategi pembelajaran langsung, strategi pembelajaran tidak langsung, strategi pembelajaran interaktif, dan strategi pembelajaran mandiri. Sedangkan macam strategi pembelajaran menurut Saskatchewan (Panggabean, 2021) yang tidak digunakan oleh Paduan Suara Mahasiswa Universitas Lampung adalah strategi pembelajaran eksperimen.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.946
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0070.009
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0070.011
Science and technology studies0.0050.004
Scholarly communication0.0020.004
Open science0.0080.004
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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
Published2025
Admission routes1
Has abstractyes

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