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Record W4396974563 · doi:10.24176/jpi.v3i1.8631

Nilai Karakter Cinta Tanah Air Dalam Film "Tanah Surga Katanya" Sebagai Pendidikan Anak Sekolah Dasar

2023· article· id· W4396974563 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 Prasasti Ilmu · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui wujud nilai karakter cinta tanah air dalam film “Tanah Surga Katanya” untuk anak Sekolah Dasar. Penelitian ini merupakan penelitian kualitatif deskriptif dengan metode analisis isi. Teknik pengumpulan data yang digunakan meliputi observasi, dokumentasi dan analisis isi (Content analysis). Langkah analisis data dalam penelitian ini terdiri dari reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa adanya wujud nilai karakter cinta tanah air pada film “Tanah Surga Katanya” yang dapat terwujud dalam beberapa indikator, yaitu antara lain menanamkan nasionalisme dan persatuan dan kesatuan bangsa, menggunakan Bahasa Indonesia dengan baik dan benar, memajang bendera Indonesia, Pancasila, gambar presiden serta simbol negara lainnya, bangga dengan karya bangsa, dan melestarikan seni dan budaya bangsa.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.008

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 head0.033
GPT teacher head0.312
Teacher spread0.279 · 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