âThe Rock of Accomplishmentâ: The Loyal Edmonton Regiment at Ortona
Bibliographic record
Abstract
The struggle for Ortona is one of the best known battles fought by Canadians in the Second World War. Matthew Halton, the CBC’s chief radio correspondent in Italy, made “Moro River” and “Ortona” household words in 1943 and since then veterans as well as war correspondents and historians have offered numerous accounts of that December in Abruzzi.\nThis article focuses on the role of the Loyal Edmonton Regiment in clearing the town of Ortona, but it is important to remind ourselves of the context within which the battle was fought. The Allies had invaded the Italian mainland to force Italy out of the war, to establish air bases for the strategic bombers, and to draw off the maximum number of German troops. Hitler’s decision to stand south of Rome was all that sensible Allied planners could have hoped for. The Foggia plains were suitable for air bases and the Germans poured resources into Italy to meet the Allied advance and into the Balkans to replace the Italian Army.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".