Linking the Past, Present, and Future of Canada's Adult and Continuing Education Unit: A Conceptual Paper for Post-2020 Times
Bibliographic record
Abstract
In this conceptual paper, the authors consider how select themes found in the Canadian Journal for the Study of Adult Education from 2010-2020, other theoretical principles and practices from the broader education literature, and the lived experiences of adult and continuing education units in 2020 will shape the future of adult and continuing education practice for years to come. Attributes of adult and continuing education units that will thrive and assist Canada in re-building in a post-2020 world include sustained investment in on-line educational technologies; programming that enables displaced workers to re-enter the workplace expeditiously through alternate pathways and credentials as well as health- and socially-focused programs given Canada’s aging population and the social consequences of 2020; recognition of the prior achievements of adult learners including those from immigrant backgrounds; and tighter bonds between adult and continuing education units and the larger Academy including its teaching, learning, and scholarship communities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.027 | 0.032 |
| Scholarly communication | 0.019 | 0.010 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".