Fictional German governesses in Edwardian popular culture: English responses to German militarism and modernity
Bibliographic record
Abstract
Historians have tended to focus on propaganda when assessing Edwardian attitudes towards Germans, but a shift of focus to fiction reveals a rather different picture. Whereas propaganda created the cliché of ‘the Hun’, fiction produced non- and even counter-stereotypical figures of Germans. An analysis of German governess characters in a selection of short stories, performances, novels, and cartoons indicates that the Edwardian image of Germans was not purely negative but ambivalent and multifarious. Imagined German governesses appeared as patriots and spies, pacifists and warmongers, spinsters and seducers, victims and evil-doers. A close look at characterisations by Saki [H. H. Munro], M. E. Francis [Margaret Blundell], Dorothy Richardson, D. H. Lawrence, Radclyffe Hall, Frank Hart and others reveals not only their variety but also their metaphorical use as responses to Germany’s aggressive militarism and avant-garde modernity. Each governess figure conveyed a positive, negative or ambivalent message about the potential impact of German militarism and modernity on England and Englishness. The aggregate image of German governesses, and by inference Germans, was therefore equivocal and demonstrates the mixed feelings of Edwardians toward their ‘cousin’ country.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".