Bibliographic record
Abstract
Was Dieppe really a turning point in the war and a defining moment for Canada, or was it simply another battle lost to the Germans during the war? On August 19th, 1942, Canadian troops, along with groups of British and American soldiers, attacked the heavily fortified German-held seaport of Dieppe, located on French soil. Stories about the attack popped up everywhere in the times following the attack, outlining the goings-on of this historical battle. The battle of Dieppe was a defining moment in Canadian history because it affected future battles, it demonstrated Canada’s devotion to the war, and it was one of the biggest mission failures. Dieppe affected future battles in many ways. In addition, the raid on Dieppe showed how important it was to use prior air bombings to destroy enemy defences as much as possible, to support assault troops with artillery fire from ships and landing crafts, to improve techniques and equipment to remove obstacles to men and tanks.1 “Dieppe taught us that if we wanted to land in France, we had to have mass bombing
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.038 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".