Domesticating Nietzsche: Toward a Genealogy of Elisabeth Förster‐Nietzsche's ‘Novellen‐Eierchen’
Bibliographic record
Abstract
This investigation of an untitled novella manuscript penned by Elisabeth Förster‐Nietzsche aims to contextualize her writing as an attempt to domesticate Nietzsche and his philosophy. It is argued that the manuscript provides unique insights into Elisabeth Förster‐Nietzsche's incestuous fantasies and conflicted stance toward marriage and motherhood. While explicitly promoting marriage and motherhood, the plot, paradoxically, depicts not a single positive, functioning marriage. Although it romanticizes marriages, the novella challenges the dominant construction of the alte Jungfer as a social, cultural, and sexual deviant and an economic burden to family and society. Thus, while the ideological pronouncements of the novella advocate marriage and motherhood, the novella subverts these pronouncements and develops alternative familial arrangements, such as marriage‐like brother–sister relations and surrogate parenthood. However, the conservative banality of these alternative models indicates that the novella is motivated more by wishfulfillment in the realm of fantasy than by the desire to develop an emancipatory dimension. Ultimately, Förster‐Nietzsche's novella confirms not only her lack of literary talent, but also the vast gap separating Förster‐Nietzsche's petit‐bourgeois consciousness from Nietzsche's yearning for the intellectual risk of the ever‐elusive free spirits.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".