MétaCan
Menu
Back to cohort

Peran Pariwisata terhadap PDRB dan Dampaknya terhadap Penyerapan Tenaga Kerja di Provinsi Bali

2024· article· id· W4401929446 on OpenAlex
Masayu Endang Apriyanti, Bondan Dwi Hatmoko

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

VenueSosio e-kons · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsEconomicsBusiness

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan mengetahui pengaruh sector pariwisata terhadap PDRB dan dampaknya pada penyerapan tenaga kerja, dimana pariwisata memiliki peran besar dalam berkontribusi bagi perekonomian bangsa yang sudah semestinya mendapatkan perhatian serius dari pemerintah, agar dapat berkontribusi lebih maksimal. Metode penelitian secara kuantitatif, menggunakan data sekunder BPS dan literatur. Data diolah dengan aplikasi Eviews 12. Objek yang diteliti seluruh kabupaten di Provinsi Bali dalam kurun waktu 7 tahun, yaitu tahun 2015 sampai 2021. Sektor pariwisata dengan indicator jumlah biro perjalanan wisata, jumlah akomodasi hotel dan restoran pada hotel Bintang dan jumlah akomodasi hotel non bintang, yang ingin diketahui berapa besar pengaruhnya terhadap PDRB yang akan berdampak pada penyerapan tenaga kerja. Hasil penelitian membuktikan ada pengaruh signifikan dari sector pariwisata terhadap PDRB dengan hasil Sig., = 0.000 < 0.05 dan F = 244,8190 lalu PDRB berdampak pada tenaga kerja dengan R 2 = 0,985415 sig. = 0,0000 < 0,05

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.296
Teacher spread0.272 · 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