“Chick Noir”: Shopaholic Meets Double Indemnity
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
Abstract In early 2014, several articles appeared proclaiming the rise to prominence of a new subgenre of the crime novel: “chick noir,” which included popular books like Gone Girl, The Silent Wife, and Before We Met. However, there was also resistance to the new genre label from critics who viewed it as belittling to women’s writing and to female-focused narratives. Indeed, the separation of female-centred books - whether “chick lit” or “chick noir” - from mainstream fiction remains highly problematic and reflects the persistence of a gendered literary hierarchy. However, as this paper suggests, the label “chick noir” also reflects the fact that in these novels the crime thriller has been revitalized through cross-pollination with the so-called chick lit novel. I contend that chick lit and chick noir are two narrative forms addressing many of the same concerns relating to the modern woman, offering two different responses: humour and horror. Comparing the features of chick noir to those of chick lit and noir crime fiction, I suggest that chick noir may be read as a manifestation of feminist anger and anxiety - responses to the contemporary pressure to be “wonder women.”
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 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