Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The workforce is aging in all industrialized nations and the retention of older workers will become one of the dominant issues in the coming decades. Training is an important component of retention and the availability of training is critical for retaining older workers. Design/methodology/approach Studies conducted in 2001 and 2003 assessed the extent to which Canadian organizations are adapting their training practices to respond to the aging workforce. Human resource executives were asked the extent to which their organization was currently engaging in training practices targeting older managerial and professional employees. Findings Organizations were most likely to be providing access to training and retraining, but fewer than 10 percent of the organizations in 2003 were highly engaged in doing this. Organizations were less likely to be adjusting training methods to accommodate the needs of older employees. There was little attempt to provide age awareness training to managers of older employees. Practical implications The challenge for organizations will be to close the gaps that currently exist between the practices that are important in retaining older managerial and professional employees and the extent to which organizations are engaging in these practices. Ensuring access to training, customizing training methods, and providing age awareness training require immediate attention. Originality/value Little research has been conducted on older workers in Canada. The findings raise some serious concerns about the response of Canadian organizations to the aging workforce and identify areas of training and development that need to be addressed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it