Bibliographic record
Abstract
My doctoral dissertation, “Unfinished Business: The New Wave of Women’s Horror Cinema,” responds to early considerations in feminist horror studies via the recent surge of horror films directed by women filmmakers for a primarily female audience. Placing this new wave of horror cinema in dialogue with the canonical works of Linda Williams, Carol Clover, and Barbara Creed, I re-evaluate the assumption that horror forecloses the possibility of female spectatorship in favour of male audiences. I argue that a change in authorship from almost exclusively male directors to women artists produces a markedly different form of address previously underrepresented in American and Canadian horror cinemas. \n \nNow, for the first time in the genre’s history, women directors are developing a globally substantial body of work that explicitly centres the ‘feminine’ and uses the conventions of horror to bridge topics such as sexuality, menstruation, virginity, gender-based violence, trauma/PTSD, eating disorders, pregnancy, and motherhood all from a woman’s perspective and for a female audience. The result is a cinema that affirms women’s experiences of fear, paranoia, anxiety, and desire, and addresses the ways in which living within patriarchy constitutes its own horror. Given this unprecedented development, the primary aim of this dissertation is to document the ways in which this new body of women-authored/women-driven horror re-inscribes the genre’s primary mode of address as distinctly female/feminine and constructs a tenable subject position for the female spectator. I stake a claim in recording this phenomenon as a crucial cultural moment in the genre’s development and suggest more work needs to be done to account for this cinema’s representational and political offerings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".