EMMA Talks: Vivek Shraya: I’m Afraid of Men
Bibliographic record
Abstract
A presentation from EMMA Talks, Vivek Shraya reads from her book I’m Afraid of Men and highlights her experience as a trans artist of colour.\n\nVivek Shraya is an artist whose body of work crosses the boundaries of music, literature, visual art, and film. Her album with Queer Songbook Orchestra, Part‑Time Woman, was included in CBC’s list of Best Canadian Albums of 2017, and her first book of poetry, even this page is white, won a 2017 Publisher Triangle Award. Her best-selling new book, I’m Afraid of Men, was her­ald­ed by Vanity Fair as “cultural rocket fuel.” She is one half of the music duo Too Attached and the founder of the publishing imprint VS. Books.\nA Polaris Music Prize nominee and four-time Lambda Literary Award finalist, Vivek was a 2016 Pride Toronto Grand Marshal, and has received honours from The Writers’ Trust of Canada and CBC’s Canada Reads. She is currently a director on the board of the Tegan and Sara Foundation and an Assistant Professor of Creative Writing at the University of Calgary.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 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".