Bibliographic record
Abstract
Denise Chanterelle DuBois’s transformation into a woman wasn’t easy. Born as a boy into a working-class Polish American Milwaukee family, she faced daunting hurdles: a domineering father, a gritty 1960s neighborhood with no understanding of gender nonconformity, trouble in school, and a childhood so haunted by deprivation that neckbone soup was a staple. Terrified of revealing her inner self, DuBois lurched through alcoholism, drug dealing and addiction, car crashes, dangerous sex, and prison time. Dennis barreled from Wisconsin to California, Oregon, Canada, Costa Rica, New York, Bangkok, and Hawaii on a joyless ride. Defying all expectations, DuBois didn’t crash and burn. Embracing her identity as a woman, she remade herself. Writing with resolute honesty and humor, she confronts both her past and her present to tell an American story of self-discovery.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.017 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.023 | 0.040 |
| Open science | 0.022 | 0.019 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.014 |
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".