Hustling verse: an anthology of sex workers' poetry
Bibliographic record
Abstract
Lambda Literary Award finalist.\n\nIn this trailblazing anthology, more than fifty self-identified sex workers from all walks of the industry (survival and trade, past and present) explore their lived experience through the expressive nuance and beauty of poetry. In a variety of forms ranging from lyrics to list poems to found poetry to hybrid works, these authors express themselves with the complexity, agency, and honesty that sex workers are rarely afforded. Contributors from Canada, the US, Europe, and Asia include Gregory Scofield, Tracy Quan, Summer Wright, and Akira the Hustler. As an antidote to the invasive and often biased media depictions of sex workers, Hustling Verse is a fiercely groundbreaking exploration of intimacy, transactional sex, identity, healing, and resilience.\n\nIncludes a foreword by Mercedes Eng, whose poetry book Prison Industrial Complex Explodes (Talonbooks) won the Dorothy Livesay Poetry Prize in 2018. From publisher description.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".