Bibliographic record
Abstract
A memoir from the award-winning author of My Lesbian Husband, Barrie Jean Borich’s Body Geographic turns personal history into an inspired reflection on the points where place and person intersect, where running away meets running toward, and where dislocation means finding oneself. One coordinate of Borich’s story is Chicago, the prototypical Great Lakes port city built by immigrants like her great-grandfather Big Petar, and the other is her own port of immigration, Minneapolis, the combined skylines of these two cities tattooed on Borich’s own back. Between Chicago and Minneapolis Borich maps her own Midwest, a true heartland in which she measures the distance between the dreams and realities of her own life, her family’s, and her fellow travelers’ in the endless American migration. Covering rough terrain—from the hardships of her immigrant ancestors to the travails of her often-drunk young self, longing to be madly awake in the world, from the changing demographics of midwestern cities to the personal transformations of coming out and living as a lesbian—Body Geographic is cartography of high literary order, plotting routes, real and imagined, and putting an alternate landscape on the map.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".