Bibliographic record
Abstract
Developing Adult Learners: Strategies for Teachers and Trainers Kathleen Taylor, Catherine Marienau & Morris Fiddler San Francisco: Jossey-Bass Higher Education Series, 2000 391 pp. ISBN 0-7879-4573-0 Although I could not find the cost of this book on either www.amazon.com or the Swedish book site www.bokus.se I anticipate that it will be very expensive outside the United States. I reviewed the hardcover edition and, depending on cost, I believe a lot of adult educators will get good value from it. It is, in terms of content and intention, an update of Patrica Cranton's pearl, Working with Adult Learners, which was published by Wall and Emerson in Toronto in 1992. I used Cranton's text when teaching adult educators at the Northern Territory University and although it cost AUS$50 for a paperback few of the teacher trainees complained once they started to use it. Like Cranton's book Developing Adult Learners is basically a mix of some adult education theory and lots of practical ways of working with adults and improving the quality of their learning.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.492 | 0.427 |
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".