Bibliographic record
Abstract
The Keynesian economist Mabel Timlin was the first tenured woman among Canadian economists, the first woman elected president of the Canadian Political Science Association (which then covered all social sciences, including economics), the first woman outside the natural sciences elected a Fellow of the Royal Society of Canada (1951), and one of the first ten women to serve on the executive committee of the American Economic Association (1958–60), despite becoming an assistant professor only in her 50th year, after a long career as an academic secretary. She was born in Forest Junction, Wisconsin, on 6 December 1891, and, after studying at the Milwaukee State Normal School, taught in Wisconsin and rural Saskatchewan. She became a secretary at the University of Saskatchewan in 1921, while studying for a BA there. At first Timlin intended to study economics, but after seeing the Department of Economics and Political Science at Saskatchewan she decided (probably correctly) that she could learn more economics on her own. She took a BA with great distinction in English in 1929, and then directed the university’s correspondence courses in economics. Mabel Timlin became an instructor in economics at the University of Saskatchewan in 1935, after completing graduate course work in economics at the University of Washington during summers and a six-month leave. Her doctoral dissertation at the University of Washington, supervised by the much younger Raymond Mikesell, was accepted in 1940 and published as Keynesian Economics (1942). In 1941, Timlin became an assistant professor of economics at the University of Saskatchewan (associate professor 1946, full professor 1950) and a member of the executive committee of the Canadian Political Science Association (Vice-President 1953–5, President 1959–60).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.017 |
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".