Captain Louis-René Drapeau, DCM & Bar, ED, CD, Air Medal (US)
Bibliographic record
Abstract
The Montreal telephone directory lists him simply as “Louis-René Drapeau (Capt).” The browser might well ask: “Captain of what?” Like so many others, the ordinary person has very little knowledge of what went on a half-century ago except what he may have seen in John Wayne or Humphrey Bogart movies on late night TV. Unlike these Hollywood heroes who managed to avoid involvement in war in order to continue successful and growing film careers, men now grown old have nothing but memories (and medals tarnishing in dusty drawers) to remind them of days of youth and danger. One of these is a man who earned the rarely-awarded Distinguished Conduct Medal not once but twice in the same war and in the same theatre of operations. Now 78 years old and ill, René Drapeau was unemployed when he transferred from the NPAM (Regimental #393 - Le Regiment de Chateauguay) to Active Service with Le Royal 22eme Regiment (R22eR) on 26 October 1939. In his youth, he had served in the bugle band of the Navy League of Canada. But for this man, war provided a long moment and warm place in the sun.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.612 | 0.217 |
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".