‘Dogged, Insightful, and Humane’: Writing Women’s Lives in Twenty-First-Century True Crime
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although studies have identified women as the primary audience of true crime, women's engagement with the genre is far from a passive one. Women producers of true crime participate in discussions of female victimhood, poverty, and law. They also consider the significance – and complexity – of writing women's lives within a genre like true crime. Our chapter analyses true crime texts by women to interrogate the changing focus of true crime in the twenty-first century and the labour that these authors participate in as they question established narratives of female victimhood. In our case studies of Hallie Rubenhold's The Five (2019) and Michelle McNamara's I'll Be Gone in the Dark (2018) we suggest that these texts model a feminist version of true crime by creating more comprehensive narratives of female victimhood and survival via narrative structures that centralise women's lives. We contend that these texts are engaged in crucial work that alters the language we use to speak about victims and victimhood.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it