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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 OpenAlexaff
Sukatno Krisbianto, Reza Rizkina Taufik, Muhammad Zainudin Bin Ali Don Duru

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.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.039
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0390.008

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

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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