Being on the Web of Unions: An Interview with D'Arcy Martin, Toronto, Ontario, Canada
Bibliographic record
Abstract
D'Arcy Martin is a labor educator in Toronto. He started his career in adult education and made the transition to labor educator. He has been the Canadian education director for Steelworkers, Communications Workers, and the merged Communications, Energy and Paperworkers Union. He is also coordinator of the Centre for the Study of Education and Work at the University of Toronto, which brings together academics and unionists to research the informal learning of workers. In the following interview, D'Arcy talked about his experiences as a Canadian labor educator, how being an internationalist has influenced his views, and how the dynamics of power influence not only workers and their unions, but educators, too. D'Arcy described his work as "being on the web … to go sideways, that is, to draw connections, including international ones, amongst people of like mind and to build collective power by inviting people to learn together."
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.079 | 0.022 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".