Bibliographic record
Abstract
Sylvia Plath, in her most ambitious poems, tackles the problem of female selfhood. What is it? Within a world where women are con- tained by rigid scripts and relegated to silence, how can they revolt? On the one hand, she gives us poems like "The Applicant" and "The Munich Mannequins," where women, reduced to nothing more than commodities, appear robbed of their humanity. On the other hand, in poems such as "Lady Lazarus," she presents selves in revolt, resisting assimilation to patriarchal ideals. In both cases, Plath's poetry reacts against the absence, especially for women, of a public space, indeed a language for debate, wherein one might make visi- ble and deconstruct the given order of things. In the following, I argue that Plath deliberately blurs the borders between the public and the private in two of the most celebrated, controversial, and cri- tiqued of her poems: "Daddy" and "Lady Lazarus." Transforming the conventional female body of the 1950s into a kind of transgres- sive dialect, Plath makes her personae speak in and to a public realm dominated by male desires. Giving the female construct voice, so to speak, Plath prefigures recent trends in feminist criticism that read the female body as text. Susan Bordo, for example, sees in the emer- gence of agoraphobia in the 1950s and anorexia in the 1980s rebel- lious performances: The public wants to see the woman in the home, so the woman responds by fearing to go out (agoraphobia); the pub- lic wants to see the woman thin, so the woman starves herself (ano- rexia). Bordo summarizes her argument in a language that echoes Plath's poetic desires:
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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 | 0.005 | 0.022 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".