Bibliographic record
Abstract
In the spring and summer of 1938, a third-generation German Canadian took an unforgettable road trip in Europe. Franklin Wellington Wegenast drove through Austria, Italy, France, Luxembourg, and Germany. He stopped to talk to people along the way and offered rides to those requesting them. He listened to what his passengers had to say about their lives, the conditions they lived under, and their views on what was happening in Europe. Wegenast heard Hitler speak in Innsbruck, and so witnessed first-hand Nazi power as Austria’s independence crumbled. In his journal he noted “the sheer animal force in the cries of the crowd,” and foresaw the “collision course” that was shaping up between the Germans who supported Hitler’s ideology and the rest of the world. Wegenast was unable to publish the journal he kept on his journey, and at the time of his death in 1942 it was in an unorganized state. It is published here for the first time alongside commentary that puts the entries in the contexts of Wegenast’s life experiences, the prevailing attitudes of the day, both in North America and Europe, and modern scholarship on Germany in the 1930s. The book includes correspondence Wegenast had with a young German for a few months after his return to Canada, correspondence that reveals even more clearly the intensity of his feelings and his fear for the future. Newly released government documents and diaries kept by Germans during the interwar period have meant a considerable outpouring in recent years of material on German sentiment in the 1930s. Wegenast’s diaries and letters corroborate modern assessments of German thinking and add insightful commentary, providing an outsider/insider view on the brewing conflict.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".