Bibliographic record
Abstract
In the last two decades, researchers have focused increasingly on the middle years of adulthood as an emerging topic in the adult literature. The reasons for this include: the aging of the Canadian baby-boom population, who now have reached the middle years of life (Statistics Canada, 2007); healthier lifestyles of these midlife adults (Brim, Ryff, and Kessler, 2004); the recognition of midlife as a unique and distinct stage of adulthood (Lachman, 2001); and, the interdisciplinary developments linking midlife to both the adult development and the adult education literatures (Hoare, 2006). Collectively, these new directions offer innovative dimensions in our thinking about the middle years of our lives. Midlife adults experience life changes that bring both opportunities and challenges. In this chapter, we will explore this issue in more depth from the context of learning and development. The definition of the term midlife is briefly explored, followed by investigating three unique ways in which learning occurs in the middle years: (a) transfer learning; (b) transition learning; and, (c) transformative learning. The chapter concludes with implications and future directions.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".