Bibliographic record
Abstract
In her essays on Wieland, written around 1980, Elizabeth Boa went against contemporary fashion both by praising a neglected writer and by vindicating the role of pleasure in the reception of literature. She noted how Wieland varies a literary topos – a man watching a woman bathing naked – by letting women watch men bathing naked. This topos most often occurs in the pastoral, a popular eighteenth-century genre. Various examples are examined to show that they suggest equality rather than male dominance in relations between the sexes: men watching women bathing in James Thomson and Gottfried Keller; an example involving cross-dressing in Kleist; and finally women watching men bathing naked in Swift, Voltaire and Wieland's Idris und Zenide. Elizabeth Boas um 1980 verfasste Arbeiten über Wieland standen quer zur damaligen Mode, sowohl in ihrem Lob für einen unterschätzten Dichter, als auch dadurch, dass sie die Rolle der Lust bei der Rezeption von Literatur rechtfertigten. Wie Boa bemerkte, wandelt Wieland einen literarischen Topos, den männlichen Blick auf eine nackt badende Frau, ab und lässt seine weiblichen Figuren nackte Männer beim Baden beobachten. Dieser Topos kommt besonders in der im 18. Jahrhundert beliebten Idylle vor. Um aufzuzeigen, dass dabei eher sexuelle Gleichheit als männliche Dominanz angedeutet wird, werden verschiedene Beispiele untersucht: der männliche Blick bei James Thomson und Gottfried Keller, ein komplexes Beispiel bei Kleist, wobei eine als Mann verkleidete Frau eine Freundin erschreckt, und schließlich der weibliche Blick auf nackt badende Männer bei Swift, Voltaire und in Wielands komischem Epos Idris und Zenide.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".