Bibliographic record
Abstract
from her home in Upland, California to her sister Mabel Brechbill Blosser, who had settled in Goshen, Indiana. In her usual bright manner, Lucille began the newsy epistle that like so many others over the years had connected her with her siblings and their children in the eastern states and Ontario, with the salutation: "A joyous Easter!" Nowhere did she hint at the sadness that would overtake her just four weeks later, for its final time. 2 The jolt of her suicide that reverberated through her family, and the entire Brethren in Christ church, the denomination to which she and her husband Jesse Lady had devoted their lives, is suggested by his biographer: "For fifteen years [Lucille] had been suffering periods of severe depression, the details of which he did not share with even his family and closest associates. Rather, he carried the burden alone. Thus when she took her life" on 2 May 1968, "all who heard were shocked." 3 It was through the eyes of a great-niece carrying Lucille's name, that I read Jesse's biography several years ago. 4 The latter was portrayed as a charismatic church leader, serving at various times during his thirty-year ministry as evangelist, bishop, professor, college president, and missionary. Lucille, on the other hand, remained, by and large, a mystery. As historian Gerda Lerner has explained in Why History Matters, . . . women have
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".