Bibliographic record
Abstract
In many parts of Asia, female ghosts play an interesting role in how the supernatural is imagined and constructed. Whether she be the pontianak who waits for her victim by the side of the road, or the mother or lover who returns for revenge, the female ghost is often characterised as treading the line between agency and oppression. On one hand, she is an autonomous character who seeks justice on her own terms; on another, she is usually reduced to a victim of violence while she is alive, and her agency is only granted in death… in the transformation of her identity from victim to villain.Death Wears a Dress is a collection of poems inspired by numerous female “monsters” central to Asian folklore, many of whom continue to reincarnate through horror films, pop culture and social media. Through poetic verse, I hope to centralise, re-imagine and humanise the experiences, emotions, desires, fears and regrets of these fictitious women in an effort to unearth possible insights about gender, power, longing and justice.Death Wears A Dress is being written with the support of Singapore’s National Arts Council’s Creation Grant.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".