Out of the Shadows: Women's Adult Education Leadership in Canada
Bibliographic record
Abstract
In Unearthing Canada's Hidden Past: A Short History of Adult Education Michael Welton (2013 p. x) argues that 'Canada has one of the most illustrious, experimental and innovative traditions of adult education in the world' and further notes that Canadians remain relatively unaware of this history.' (p. xv). Women's contributions remain even more invisible compared with what can be called the 'single story' of Canadian adult education in which particular men figure prominently. Women have, throughout the history of Canadian adult education, been involved with creating new organizations and institutions, providing formal and formal spaces for adult learning, and taking the lead within social movements fighting for social justice, particularly for women's rights. This article aims to highlight some of their efforts. The first part focuses on women's work within social movements. The second part of the chapter focuses on women's leadership in the creation of feminist organizations and spaces within formal institutions, particularly their role in the creation of equality seeking organizations, organizations that were (and are) key sites of adult education, particularly the development of women's critical consciousness about their rights and ways of organizing and demanding social justice.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.052 | 0.014 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".