True North Strong and Free: Three Wise Men and The Founding of CASAE/ACÉÉA
Bibliographic record
Abstract
Education/l’Association canadienne pour l’Étude de l’Éducation des Adultes (CASAE/ACÉÉA) on May 6, 1980, occurred against a backdrop of unease about the influence of U.S. academics in Canadian university departments of adult education. In particular, CASAE advocates in Vancouver had to navigate around Coolie Verner, who felt adult education (as a discipline and field) was stalled by lack of consensus concerning fundamental concepts. He would be reluctant to endorse anything lacking rigour. Verner was not opposed to Canadians having their own organization, but, even so, his 1979 death created space for the founding of CASAE in 1980. This paper analyzes events leading to the less-than-dramatic CASAE birthing process involving three wise men. Despite early years on life support, by 1982 CASAE was where it should be—in a Vancouver Chinese restaurant toying with noodles. Thirty-one years after the founding, university adult education is in big trouble. But CASAE is still here and members are grateful to those who sustained it. Résumé Le congrès fondateur de l’Association canadienne pour l’Étude de l’Éducation des Adultes (ACÉÉA) eut lieu le 6 mai 1980, dans un contexte de malaise latent concernant l’influence et la proximité des universitaires américains dans les départements d’éducation des adultes au sein des universités canadiennes. En particulier, les partisans de l’ACÉÉA à Vancouver, ont dû composer avec Coolie Verner qui considérait que l’éducation des adultes (comme discipline et comme domaine) était bloqué par un manque de consensus concernant les concepts fondamentaux. Or il était réticent à approuver quoique ce soit manquant de rigueur. Verner n’était pas opposé à ce que les Canadiens aient leur propre organisation, mais quand même, sa mort en 1979, créa l’espace qui permit la fondation de l’ACÉÉA en1980. Cet article analyse les événements conduisant au congrès fondateur et au moins que dramatique processus de création de l’ACÉÉA qui fut dominé par trois sages. Malgré ses premières années de survie, dès 1982, l’ACÉÉA était où elle devait être - dans un restaurant chinois de Vancouver, jouant avec des nouilles et essayant d’identifier le mot français pour sauce soja. Trente-un ans après sa fondation, l’ACÉÉA continue d’exister et les membres sont reconnaissants envers ceux qui l’ont toujours soutenu.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.062 | 0.021 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".