Give Me the Room to Learn: Associations Between Job Control and Work-Related Learning
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
Societal rhetoric claims that the intellectual capital of workplaces must be leveraged if Canada is to compete in the "knowledge economy". To achieve this, however, employers must create work environments that are favorable to workers and conducive to learning. This paper uses a sample of 5800 Canadian workers from the Work and Lifelong Learning Survey and twenty interviews with Information Technology workers from the Education-Job Requirement Matching Project to focus on the relationship between worker control and learning engagement. The data show that increased levels of social and technical control are associated with increased worker engagement in formal courses, informal education (mentoring) and non-taught learning. This research has implications for job design that includes real and meaningful opportunities for worker input and agency into their own tasks and broader organizational decision-making. These results provide important information for future research regarding the inclusion and conceptualization of learning and job control constructs.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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