The Operating Efficiency of Vocational and Senior High Schools in Xindian District of New Taipei City: Three Envelopment Models in DEA
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
<p class="1main-text">The purpose of this study is to apply a standard DEA model, cross-efficiency model and category variables DEA in evaluating operational efficiency for vocational and senior high schools in Xindan area, new Taipei city. The procedures this paper. Firstly, we do not consider neither different properties nor peer group for senior high or vocational school to evaluate their operational efficiencies by standard DEA model. Secondly, we apply DEA cross-efficiency (DEA-CE) model to perform self and peer-evaluation for the operational efficiency of the related different schools. Thirdly, we consider peer group and classify two groups in view of different properties to assess their performance by categorical variable DEA (CVDEA). Finally, by comparisons of the three performance results, the categorical variable model can better estimate operational efficiency for these vocational and senior high schools in the District of New Taipei City than that those of other two models.</p>
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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