John Porter. A Life in Sociology — Rick Helmes-Hayes, Measuring the Mosaic: An Intellectual Biography of John Porter
Bibliographic record
Abstract
I t took Rick Helmes-Hayes about twenty years to write the biography of English Canada's most distinguished sociologist of his time, John Porter (1921Porter ( -1979)).Porter greatly influenced Canadian sociology by his scholarly publications, and his teaching contributed to the training of a whole generation of sociologists.Helmes-Hayes has written a remarkable intellectual biography of this most important scholar, while outlining the social context of his era, placing Porter's work in a broader perspective.In doing so he has succeeded in producing an excellent book that is the deserving winner of Canadian Sociological Association's John Porter Tradition of Excellence Book Award for 2011.The author characterizes John Porter as "a new liberal practical intellectual" who, after his return from the London School of Economics (LSE) in the 1950s, showed remarkable interest in the analysis of social class.According to the biographer "The study of class was central to the entire intellectual ambiance of LSE."However, even before leaving the LSE, Porter had rejected Marxism as a theoretical perspective and was suspicious of Soviet communism.After his return to Canada, he found work in Ottawa as a sociology professor at Carleton University, which had just opened and was developing rapidly.Early in his career he drew up a research project that looked at social stratification and the structure of power in Canada.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.007 | 0.019 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".