Bibliographic record
Abstract
E l i z a b e t h ( b e t t y ) s m a r t was the second of three daughters and one son born into a wealthy upper-middle-class family in Ottawa, Canada, in 1913.Mum adored her father, Russel Sutherland Smart, a benevolent and bespectacled little man with burnished cheeks and a pouterpigeon chest.Despite his bookish and fusty background of law, regulations and records, he provided her and her siblings with a busy social life in a loving home that was frequented by diplomats, broadcasters, politicians and aspiring writers.He was a great reader and follower of the theater and perhaps sowed the seeds of a love of the English language in Mum.Louise-or Louie, her mother-was the firm matriarch in this respectable household, insisting on decorum and a well-bred demeanor from her children, particularly her daughters.The secure family base led to a defiant and iconoclastic trait in them, none more so than in Mum.This defiance drove her to stubborn childhood insubordination, and early on she established a love/hate relationship with her mother.She would write later, recalling her earliest memories:
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.198 | 0.079 |
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".