Preface to the Second Edition
Bibliographic record
Abstract
Catherine Marshall has been part of my life for many years now.I first came upon mention of her when I was beginning research on Bertrand Russell's pacifist activities during the First World War.Initially, she appeared as one of a number of people who had worked in support of conscientious objectors, but it soon became clear that her role had been quite substantial.There was also mention of her prewar work as a suffragist, but I do not think I had previously come across her name.Somewhat to my surprise, I received a research grant that enabled me to spend a summer in the UK.In those heady days of the late 19608, living there was cheap and the exchange rate with Canada favourable.Through my (then) husband we also, from time to time, had access to free transatlantic RCAF air flights.It all sounds rather improbable now, and so it did to me, in 1969.But I took a deep breath and set off with my two teenage daughters, one to follow her dream of attending classes at the London Contemporary Dance Theatre, the other to attend a Quaker summer school and hang out with me.Through the good offices of my brother George we found accommodation in London and I explored resources there.One of the collections I visited was, of course, the Quaker archives at Friends House, Euston Road, where I gained a great deal of insight from reading the wartime issues of The Friend, a Quaker weekly journal.Much later, boxes of papers about the Friends Service Committee would be found there,
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".