Bringing the Ideas of Marvyn Novick to Life: An Anthology with Commentaries
Bibliographic record
Abstract
This anthology of Marvyn's selected writings was compiled by the Marvyn Novick Legacy Group of family, colleagues, and friends. It reflects his contributions to social policy and community practice and offers commentaries from many of Marvyn's colleagues and associates from his five-decade career: Peter Clutterbuck, Joey Edwardh, Sid Frankel, Nathan Gilbert, Robert Glossop, David Hulchanski, Anita Khanna, Brigitte Kitchen, Mary Lewis, Susan McGrath, Joe Mihevc, Laurie Monsebraaten, Leon Muszynski, Laurell Ritchie, Walter Ross, Laurel Rothman, Jamie Swift, Ish Theilheimer, and Armine Yalnizyan. The writings and commentaries are organized into four sections: 1) Cities, Community Services and Civic Alliances; 2) Children, Families and Youth: A Collective Responsibility; 3) Social Protection: Income Security, Decent Work, and Progressive Taxation; and 4) Building a New Canada: Social Inclusion and Civic Solidarity. The commentaries and reflections point to the impact of his thinking and action throughout his career, on their relevance to the times we live in now, and to the future of social policy and community practice 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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.010 | 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".