Memories and Reflections on the Dieppe Raid of 19 August 1942
Bibliographic record
Abstract
Editorâs Note: John S. Edmondson was born in Estevan, Saskatchewan in 1919. He joined the Princess Patriciaâs Canadian Light Infantry in 1938, and then served with the South Saskatchewan Regiment during the Second World War in the Defence of England, on the Dieppe Raid and in the Normandy Campaign until wounded during the capture of Falaise. After the war, he was transferred to the Black Watch (RHR) Regiment of Canada. He served in Canada in many roles, and as an exchange officer with the British 4th Division in West Germany as part of NATO. In addition, he served with the UN Military Observer Group in Kashmir, India and Pakistan. He served until reaching the mandatory retirement age in 1971. John, with the assistance of his son Doug, wrote this account of his experiences at Pourville in 1993, revising it in 2003.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".