Bibliographic record
Abstract
In Nimrods , Kawika Guillermo chronicles the agonizing absurdities of being a newly minted professor (and overtired father) hired to teach in a Social Justice Institute while haunted by the inner ghosts of patriarchy, racial pessimism, and imperial arrogance. Charged with the “personal is political” mandate of feminist critique, Guillermo honestly and powerfully recounts his wayward path, from being raised by two preachers’ kids in a chaotic mixed-race family to his uncle’s death from HIV-related illness, which helped prompt his parents' divorce and his mother’s move to Las Vegas, to his many attempts to flee from American gender, racial, and religious norms by immigrating to South Korea, China, Hong Kong, and Canada. Through an often crass, cringey, and raw hybrid prose-poetic style, Guillermo reflects on anger, alcoholism, and suicidal ideation—traits that do not simply vanish after one is cast into the treacherous role of fatherhood or the dreaded role of professor. Guillermo’s shameless mixtures of autotheory, queer punk poetry, musical ekphrasis, haibun, academic (mis)quotations, and bad dad jokes present a bold new take on the autobiography: the fake-punk self-hurt anti-memoir.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.403 | 0.182 |
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".