Bibliographic record
Abstract
Vivek Shraya’s career began with a formative experience in alt publishing: her illustrated book of short stories, God Loves Hair, was originally self-published. Based on Shraya’s “experience growing up in Edmonton [Canada] as a gender non-conforming child of Hindu immigrants,” God Loves Hair is a fascinating alt-kid lit case study on many levels: from its unique publishing history to the object itself, which is part-picture book, part-coming-of-age story—a text that signifies as CYA while dealing with complex and often controversial topics like masturbation, racism, suicidal ideation, religion, and gender identity. In addition to God Loves Hair, Shraya has published two more formally (if not thematically) “traditional” children’s picture books—The Boy & the Bindi (2016) and Revenge of the Raccoons (2022)—and she speaks about the importance of visual elements to her storytelling, as well as the joys, pleasures, and potential political impact of the picture book form and CYA more broadly.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.478 | 0.415 |
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".