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
In this paper I argue that “monstrous” women – violators of both moral and gender norms – mark the limits of acceptable behavior through such violation and thus provide particular insight into the workings of gendered power relations within contemporary western societies. Drawing upon Michel Foucault’s 1975 College de France course titled Abnormal, I begin by arguing that gendered power relations in western societies can be characterized as “normalizing.” Next, I refer to Foucault’s discussion of “natural” and “moral” monsters in order to provide a sketch of the monstrous woman, and then show how specific monstrous women violate moral and gender norms. By way of conclusion I argue that the figure of the monstrous women is not wholly negative but rather ambivalent. As Foucault asserts, monsters are “limit figures;” monstrous women challenge limits – including prevailing norms governing the feminine and the human – in ways that render them explicit such that they are denaturalized and ultimately opened up to critical interrogation.
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 | 0.000 | 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) | 0.001 | 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