MétaCan
Menu
Back to cohort
Record W1542490623

On the Beach and in the Bag: The Fate of Dieppe Casualties Left Behind

2000· article· en· W1542490623 on OpenAlexaboutno aff
Charles G. Roland

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsLeft behindMedicine
DOInot available

Abstract

fetched live from OpenAlex

When the last Allied ships drew away from the beaches of Dieppe on 19 August 1942, they left behind over 2,700 of the 4,963 Canadians who had embarked on the raid: 807 men were dead, including four Royal Canadian Army Medical Corps [RCAMC] medical orderlies, and 1,946 (including four Canadian Medical Officers (MOs), a chaplain, and at least 11 RCAMC medical orderlies and 48 accredited stretcher-bearers) were abandoned to German captivity on the beaches and environs.1 As Lord Lovat wrote decades after the event, “the raid was an exceedingly bitter experience, learnt the hard way.”2\nIt is to the fate of these nearly two thousand men, and in particularly the 568 who had been wounded and then captured, that this article is devoted. Many of the survivors faced lengthy hospitalization and rehabilitation, frequently under the care of POW medical personnel rather than German doctors. The account of that medical treatment is one of the untold stories of the Dieppe raid.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.259
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueScholars Commons (Wilfrid Laurier University)Same topicIntelligence, Security, War StrategyFrench-language works237,207