Innolot: International Manufacturing Technology Development in Poland
Bibliographic record
Abstract
The Innolot program represented some firsts for Sikorsky Aircraft and its Polish subsidiary, PZL Mielec. It was the first win of an international research and development program for Sikorsky as well as the largest manufacturing technology investment by either company. The conditions surrounding the program were also somewhat unique. The technologies and innovations developed existed in the United States and Europe, however they did not exist in Polish industry. The supply base was non-existent and little expertise in any of the technologies proposed existed outside of academia. Guidance and support from the United States was provided within a robust International Trade Compliance (ITC) process with special emphasis on avoiding inadvertent exports of manufacturing "know how". This program was a "first" in terms of technology and size for PZL Mielec, therefore an appropriate program management structure and culture was created and coached to insure proper control of projects replete with discovery. This paper explores the cultural as well as the technological aspects that led to a successful conclusion of the program in the spirit of the Vertical Flight Society: "…engineers, scientists and others working to advance vertical flight technology".
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".