Bibliographic record
Abstract
A memoir-in-essays on transness, dad rock, and the music that saves us. When Wilco’s 2007 album Sky Blue Sky was infamously criticized as “dad rock,” Niko Stratis was a twenty-five-year-old closeted trans woman working in her dad’s glass shop in the Yukon Territory. As she sought escape from her hypermasculine environment, Stratis found an unlikely lifeline amid dad rock’s emotionally open and honest music. Listening to dad rock, Stratis could access worlds beyond her own and imagine a path forward. In taut, searing essays rendered in propulsive and unguarded prose, Stratis delves into the emotional core of bands like Wilco and The National, telling her story through the dad rock that accompanied her along the way. She found footing in Michael Stipe’s allusions to queer longing, Radiohead’s embrace of unknowability, and Bruce Springsteen’s very trans desire to “change my clothes my hair my face”—and she found in artists like Neko Case and Sharon Van Etten that the label transcends gender. A love letter to the music that saves us and a tribute to dads like Stratis’s own who embody the tenderness at the genre’s heart, The Dad Rock That Made Me a Woman rejoices in music unafraid to bare its soul.
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 | 0.000 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".