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.
Bibliographic record
Abstract
Studi ini menganalisis pengaruh nilai tukar Rupiah terhadap kinerja ekspor Indonesia menggunakan data tahun 2005 kuartal I sampai tahun 2012 kuartal III dengan menggunakan Error Correction Model (ECM). Dalam kurun waktu 2005-2012 ekspor Indonesia secara umum menunjukkan perkembangan yang positif walaupun terjadi penurunan pada periode 2008-2009 dan tahun 2012 terutama ke negara-negara tujuan Eropa dan Amerika. Ini menunjukkan bahwa ekspor Indonesia perlu ditujukan ke negara negara yang menjadi target atau sasaran baru. Studi ini menemukan bahwa nilai tukar dalam jangka panjang dan jangka pendek memiliki pengaruh yang negatif dan signifikan terhadap ekspor Indonesia. Ini menunjukkan pentingnya kebijakan nilai tukar untuk memicu peningkatan ekspor Indonesia. This paper examines the influence of Indonesia’s exchange rate on the performance of Indonesia’s exports using the data from the first quarter of 2005 until the third quarter of 2012 using an Error Correction Model (ECM). During 2005-2012 Indonesia’s exports increased, except in 2008-2009 and 2012 when they declined especially to Europe and America. This suggests that Indonesia’s exports should now be directed at newly targeted countries. This study finds that the appreciation of the exchange rate, in both the long run and the short run, has a significant negative impact on exports. It shows theimportance of exchange rate policy in improving Indonesia’s export performance.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.034 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it