Bibliographic record
Abstract
laire Drainie Taylor's memoir, The Surprise of My Life: An Autobiography, is a moving, intelligent and often humorous account of a life lived to the fullest, a life reflected upon by a narrator whose honesty and sensitivity draws the reader into her story, a narrator whose memory for the details of her childhood, her childbearing years, her children's lives is remarkable.With her own busy career as a radio and television actor, she has remained a loving mother, wife and grandmother, devoted to the preservation of the family's legacy and the stories they have yet to tell.Although married now to the Canadian film entrepreneur Nat Taylor, The Surprise of My Life t ells an earlier story, the story of her exciting life with John Drainie, the celebrated Canadian actor with whom she raised six children.The memoir begins in Claire's childhood: born in Swift Current, Saskatchewan, of Jewish parents, Claire remembers the joy and chaos of life in her first family, a family which, though always living on the edge, and despite setbacks, managed to survive.She recalls that her first love, Jack Harrison Murray, with whom she eloped in 1934, was attracted to this warmth and wanted it for himself.vn viii
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.636 | 0.586 |
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".