Bibliographic record
Abstract
Galbraith, John Kenneth (15 Oct. 1908-29 Apr. 2006), economist and author, was born in Iona Station, Ontario, Canada, to Archibald Galbraith and Sarah Catherine Kendall. Galbraith, who advanced and reinterpreted institutionalist and Keynesian traditions in economics while promoting a liberal and progressive political agenda, was arguably the best-known and most influential economist and public intellectual of his generation. He published dozens of books, served in a number of high-level government positions, and, as a faculty member at Harvard University for more than a quarter of a century, advised every Democratic president from Franklin Roosevelt to Bill Clinton. Galbraith's political education began at the hands of his father, who was active in agrarian politics in Ontario. Galbraith's formal education at the outset was rudimentary. It began at a one-room school on Willy's Sideroad and continued for four years at Dutton High School, followed by a fifth year at St. Thomas High School (the additional year necessitated by inadequate elementary school preparation). He matriculated at Ontario Agricultural College in Guelph, where he pursued a B.Sc. in agricultural economics. His major was animal husbandry. In a Time interview he later described OAC as "not only the cheapest but probably the worst college in the English-speaking world." Approaching graduation, and seeking wider horizons, he applied for and won a Giannini Fellowship in Agricultural Economics, and in 1931 journeyed westward and to the United States to pursue graduate study at the University of California at Berkeley. By all accounts (including those of the FBI) he now became a much stronger student, although he was aware that students and faculty in the regular economics department considered those in the department of agricultural economics as second class. His doctoral dissertation, which in retrospect Galbraith viewed as "without distinction," examined county expenditures in California.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.075 | 0.040 |
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".