DEA와 DEA-window 분석을 이용한 일반산업단지의 효율성 측정 :충청권 사례를 중심으로
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
The General Industrial Complexes have been regarded as key driving forces towards advancement of regional economic efficiency in Korea. Applying DEA(Data Envelopment Analysis) techniques, this study dealt with efficiency questions in the General Industrial Complexes within Chungcheong Region(Daejeon, Chungbuk, and Chungnam). Its analytical span was centered around the first quarter of 2012. In addition, using DEA-window techniques, this study observed efficiency trends in the same region from the first quarter of 2008 to the first quarter of 2012. Among various research results, this study highlighted the fact that the General Industrial Complexes within Chungcheong Region recorded relatively low efficiency levels, that is, 59.79% in the technical efficiency level and 68.76% in the pure technical efficiency level, respectively. Furthermore, these trends have not significantly changed over time.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.018 |
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