The Toronto Meeting of the A. A. A. S. 1922. A surprising election and a voyage westward
Bibliographic record
Abstract
This chapter examines the American Association for the Advancement of Science (A. A. A. S.) meeting in Toronto in the last week in December of 1921. On the evening of December 28, a great surprise came to John Henry Comstock—a dinner was given in his honor. It was held in Annersley House, Victoria College, of the University of Toronto and there were sixty-nine present, many of them Henry's old students and all of them personal friends. The entomological meetings were excellent; the Comstocks listened to the scientific papers by many of their old students. On May 6, 1923, Anna Botsford Comstock was elected as one of the twelve greatest women in America by the League of Women Voters. The chapter then looks at the Comstocks' voyage to the West.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".