Bibliographic record
Abstract
I’m a sixty-four-year-old architectural historian. I am writing a spatial biography of a relatively famous female physician, Maude Abbott, who died in 1940 at the age of seventy-two. In this project, I engage the history of architecture and its tools by telling a life story through ten spaces Abbott occupied, rather than the barriers she faced. I dig deeply at particular events and locations, looking for evidence of Abbott’s biographical traces. This methodology, somewhat inspired by archaeology, emphasizes social and physical settings. It de-stabilizes the accounts of her life by others, especially male doctor-biographers. The sites I have chosen are a series of multi-dimensional snapshots that showcase relations between the personal and the social, the private and the public Maude Abbott. My own life unfolds in the sources I study. I regularly traverse the Montreal spaces that Abbott occupied. I teach in classrooms that kept her out. Her beloved medical specimens are now a museum, which I often visit. I twice gave birth in a hospital she knew well. I walk the streets she walked. Maude & me.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.008 |
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".