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Record W3215719237 · doi:10.33701/jipsk.v6i2.1901

PERKEMBANGAN INDUSTRI PENERBANGAN DAN PERTUMBUHAN EKONOMI DI INDONESIA

2021· article· id· W3215719237 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 Ilmu Pemerintahan Suara Khatulistiwa · 2021
Typearticle
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Persaingan bisnis layanan jasa transportasi udara pada saat ini mengalami perkembangan yang sangat pesat. Penelitian ini melihat pengaruh pertumbuhan ekonomi, kepadatan penduduk, dan jumlah transportasi darat provinsi di Indonesia terhadap jumlah penumpang dan jumlah cargo. Studi ini menggunakan data statistik transportasi udara yang dirilis Badan Pusat Statistik (BPS). Metode Regresi yang digunakan menggunakan Fixed Effect. Hasil penelitian ini menunjukkan bahwa Produk Domestik Bruto (PDB) per kapita dan kebijakan pemerintah mengenai tarif batas atas maupun bawah berhubungan positif dan signifikan terhadap jumlah penumpang. Selanjutnya variabel transportasi darat yang diwakili truk memiliki hubungan yang positif dan signifikan terhadap cargo. Studi ini juga menemukan kebijakan penerapan batas tarif dapat menganggu keseimbangan pasar. Ketika penerapan tarif batas atas dibawah harga keseimbangan dapat menimbulkan excess demand.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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