Hierarchical evaluation scheme on technology sourcing for advanced public transport systems
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
Abstract Advanced public transport system (APTS) technologies have received much attention from industry researchers in recent years for their evident importance to economic growth. The development of critical APTS technology, such as the contact‐less smart card (CSC), in newly industrialized areas receives its impetus from the experience of developed countries. The evaluation of technology sourcing with a higher growth potential in CSC technology has become a critical issue for Taiwanese firms. However, past research rarely emphasized it. This paper utilizes the grey statistical method with survey techniques and the analytic hierarchy process to develop an integrated evaluation model for solving the technology‐sourcing problem. An empirical case of the CSC technology sourcing in Taiwan was chosen to demonstrate the application of the proposed model on this issue. The research results suggest that the application of the model provides a sensible path for company policy makers to effectively cope with the technology‐sourcing evaluation problem.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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