Open-innovative developments of precision die making technology and on-site capabilities
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
Japanese manufacturing small and medium-sized enterprises (SMEs) have long supported the backbone of the Japanese economy based on their superior technologies and on-site capabilities; however, they are currently at a major crossroads in today's severe and rapidly changing environment. One of Japanese SMEs, Nissin Precision Machines (Nissin), with precision die making technology at its core, is attempting to bring innovation to its manufacturing site to combat the challenges of the current economic and business climates and to position itself for the long-term. Nissin has introduced its innovation strategies to achieve autonomous and sustainable development to withstand any environmental changes. To name a few examples: Nissin engages in open and collaborative innovation activities with its rival die manufacturers along with notable academic institutions, collaborative productions with designers that have incorporated design concepts into its works, and deliberately strengthens production management through the bottom-up approach enhanced by its front-line members and utilization of DX.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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