Upgrade of the NRC Facilities for the P&WC's Development Programs
Bibliographic record
Abstract
National Research Council’s (NRC) long and mutually beneficial relationship with Pratt and Whitney Canada (P&WC) started in early 60’s when the first models of the famous PT6 turboshaft and turboprop engine series required icing tests. NRC’s involvement with icing started in late 30’s. At that time, icing tests were performed on carburetors of aircraft piston engines. The first jet engine tested in icing conditions was the Jumo 004 in the late 40’s. NRC continues to be involved in icing until present day. Before 2004, P&WC was using NRC’s capabilities and expertise for icing testing only. In 2004, P&WC approached NRC with the proposal to expand its services from icing to development and endurance work. In order to accomplish intensive test and evaluation programs for development engines, NRC and P&WC had to develop various processes and upgrade facilities together. The upgrade and extension of facilities and capabilities at the NRC-IAR-GTL - Propulsion group are described in this document.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.025 |
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".