Letter - Ethelwyn Wetherald to Mr. Page, 4 August 1930
Bibliographic record
Abstract
A letter from Ethelwyn Wetherald to Mr. Page, 4 August 1930: The letter reads: "Dear Mr. Page - Your kind letter should have been answered weeks ago, but I delayed in the hope of seeing you in July. A good talk is so much more satisfactory than any correspondence. However, Mrs. Dalrymple, who called here a few days ago, told us your holiday was over and you had returned to New Dundee. I am so sorry to miss seeing you & your family, but I am sure with all the friends you have about here, that your time was fully occupied. I was much interest to hear that you are busily engaged on a piece of literary work in which, I hope, you will win real success. Publishers seem to be getting very cautious & conservative now a days. Mclelland and Stewart of Toronto promised (verbally) to bring out my "Complete Poems" this coming Fall; but a few days later they declined for the reason that 'this is a bad year to bring out poetry'. I wonder when a 'good year' will come. But there is no doubt that as Emerson says 'there is a solution for every problem & the soul's highest duty is to be of good cheer'. My Californian brother is here for the summer. Rather frail & rheumatic, but the rest of us are well. Dorothy is at home during the hot weather, but expects to return to Hamilton next month. Our affectionate regards to you all from Ethelwyn Wetherald."
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.472 | 0.208 |
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".