Bibliographic record
Abstract
marks the 100th anniversary of a richly storied organization: the Royal Canadian Air Force or RCAF.We are pleased to take you on a remarkable journey spanning 100 years of the RCAF-the people, the aircraft, and the operations.Pathway to the Stars: 100 Years of the Royal Canadian Air Force is a story about courage, innovation, loyalty, honour, and sacrifice, but mostly, it describes a history created by some of Canada's most visionary and courageous problem solvers.It is also a book of firsts.The RCAF contributed many advances in aviation over the past 100 years, from helping to invent the G-suit to developing the first helicopter landing system on a naval ship, to designing the first flight safety organization to investigate crashes.It is a story about Canada and its place in the world over the past century.From humble beginnings at the birth of the first heavierthan-air flight, to global humanitarian assistance, to endeavours that reached beyond the limits of the earth itself.The RCAF's story unfolds at a time of great tragedy.In the midst of the First World War, a small group of Canadians within the British Empire began to experiment with a new form of combat: dogfighting.These pilots were similar to medieval knights that jousted in another era.Names such as Barker and Bishop would become known as legends in this nascent group of Canadian aviators.From these auspicious beginnings, the RCAF was formally created by royal decree in 1924 and would soon come into its own during another great conflict, the Second World War.During this war, Canada contributed well beyond its weight in support of combat operations globally through the creation, implementation, and operation of a massive air training organization for the entire British Commonwealth.The endeavour helped to secure peace for the Allies and left a legacy of aviation that exists to this day.At the end of
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.775 | 0.750 |
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".