Combat Motivation and Swift Trust in Canada's Battle of Hong Kong, 1941
Bibliographic record
Abstract
Abstract: In December 1941, the British Crown Colony of Hong Kong was the site of a doomed last stand, when the Imperial Japanese Army assaulted the British enclave near-simultaneously with the strike on Pearl Harbor. Among Hong Kong’s multinational defenders were two battalions of Canadian infantry, designated “C Force.” They held out for a significant period and inflicted heavy casualties upon the Japanese, despite the fact that the Canadians were under-trained, under-equipped and fighting a battle that could not be won. This article is the first major study of combat motivation in the Battle of Hong Kong, taking the Canadian C Force as a case study. It explores the training, morale, cohesion and behaviour of the Canadians who fought this hopeless battle. This article argues that the concept of “swift trust” cohesion can explain how the Canadians fought so well against impossible odds at Hong Kong, even when primary group cohesion became impossible to sustain during battle.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".