On-the-Job Training in Canada: Associations with Information Technology, Innovation and Competition
Bibliographic record
Abstract
This article focuses on the associations between on-the-job training and new information technology, innovation introduced in the workplace, and competition experienced by the workplace. The study uses Statistics Canada's 2001 Workplace and Employee Survey, a Canada-wide survey of employers and employees. Only about a third of Canadian workers receive on-the-job training. Multivariate results show that innovation introduced in the workplace is significantly associated with providing on-the-job training. To a lesser extent, implementing new information technology and experiencing competition are also positively associated with on-the-job training. Economic growth and prosperity as well as inclusion and equality can be achieved by providing opportunities for workers to learn and develop their skills and abilities. We recommend governments to support workplaces and workers in their initiatives for the broader-focused on-the-job training since it is a social good that will benefit the society as well as the workers and their workplaces.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".