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Record W3092638933 · doi:10.35508/jikom.v9i1.2231

Pengaruh Skenario dan Gambar Pada Film “Ayo Pulang Kampung” Terhadap Rasa Nasionalisme Mahasiswa

2020· article· id· W3092638933 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Communio Jurnal Jurusan Ilmu Komunikasi · 2020
Typearticle
Languageid
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Kreativitas para sineas di Indonesia dapat dikatakan masih statis, dilihat dari minimnya genre-genre film yang ada di tanah air. Kebanyakan genre film di Indonesia hanya seputar drama romantik, komedi, horor, dan seks yag inti ceritanya sama sekali tidak memiliki unsur edukasi (mendidik), jangan hanya kemasan di buat berbeda. Hal ini yang semakin mengurangi pudarny rasa nasionalisme masyarakat Indonesia khususnya dikalangan mahasiswa. Metode dalam penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif dan verifikatif, yakni hasil penelitian yang kemudian diolah dan diambil kesimpulan. Metode deskriptif untuk menggambarkan permasalahan dan metode verifikatif untuk mengetahui besarnya pengaruh rumusan masalah. Tentunya terdapat pengaruh antara skenario dan gambar pada rasa nasionalisme mahasiswa. Begitu juga antara skenario dan rasa nasionalisme mahasiswa. Berdasarkan pengujian hipotesis skenario dan gambar pada film "Ayo Pulang Kampung" memiliki pengaruh yang signifikan terhadap rasa nasionalisme mahasiswa brodcasting BSI Jakarta.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0040.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.252
Teacher spread0.213 · 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