How poetry saved my life: a hustler's memoir
Bibliographic record
Abstract
A memoir about sex work and sexuality, and how writing became the author's lifeline. Amber Dawn's acclaimed first novel Sub Rosa, a darkly intoxicating fantasy about a group of magical prostitutes who band together to fend off bad johns in a fantastical underworld, won a Lambda Literary Award in 2011. How Poetry Saved My Life, Amber Dawn's sophomore book, reveals an even more poignant and personal landscape--the terrain of sex work, queer identity, and survivor pride. This story, told in prose and poetry, offers a frank, multifaceted portrait of the author's experiences hustling the streets of Vancouver, and how those years took away her self-esteem and nearly destroyed her; at the crux of this autobiographical narrative is the tender celebration of poetry and literature, which--as the title suggests--acted as a lifeline during her most pivotal moments.\nAs raw and fiery as its author, How Poetry Saved My Life is a powerful account of survival and the transformative power of literature. From publisher description.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.466 | 0.001 |
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; both teacher heads agree on what is shown here.
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".