Bibliographic record
Abstract
The gothic has, for two hundred years, played an important role in female culture; and worked early on to feminise established literary forms and has, throughout its history, strongly challenged established notions of femininity. Neo-gothicism reflects the feminine dimensions of the ongoing cultural and literary change: gothic horror addresses 'gendered' problems of everyday life. This book focuses on the narrative and ideological components that shape gothic fictions as feminine forms. It explores the classic texts of two hundred years of gothicism on three levels. The first is their contextualising of the specific cultural-historical situation that they both come from and address. The second is their narrative texture, marked by a complex subjectivity; and third, the inter-textualisation of feminine gothic writing. Alice Munro's Lives of Girls and Women uses gothic contextualising to tell a gothic story of growing up, and Margaret Atwood's Lady Oracle parodically incorporates gothic texture. The gothicism of Aritha van Herk's No Fixed Address relies very much on the Canadian landscape, and points to the intersection of neo-gothicism and Canadian culture. Lynne Tillman's Haunted Houses is a fictional braid of three gothic life stories of girls growing up in contemporary Brooklyn; the 'haunted houses' of the title are their bodies that are not born but becoming women. Dress, a classic feminine gothic sign for both propriety and property, is shown in the postmodern context as thematic enclosure of the body as well as formal enclosure of the story.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".