Tracing the end of a war : a micro-historical approach to the Waffen SS “Galicia” division's journey from capitulation to civilianisation, 1945-1950
Bibliographic record
Abstract
The thesis examines the case of the Waffen SS “Galicia” (a unit of the Waffen SS consisting of ethnic Ukrainian men) and analyses the process of their post-war civilianisation after 1945, when they surrendered to the British authorities in Austria, and until their re-location from the UK to Canada in the 1950s. The thesis also offers a critical analysis of the creation, development, and influence of the narratives concerning the Division, starting with the formation of the “Galicia” and continuing to the present day. The thesis argues that the current polarization of historiography on the “Galicia” Division (i.e. regarding them as either freedom fighters or collaborators) is unhelpful in attempting to produce a balanced account of the Division‟s post-war history and to explain the controversy surrounding its members‟ civilianisation. The thesis does not attempt to justify or condemn the Division‟s actions. Through the analysis of archival material and using a micro-historical approach it traces and analyses the combination of factors which enabled eight thousand Ukrainians who fought in the ranks of the German Army to be moved to the UK and be allowed to settle in the West as civilians.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".