The relative relationship between education and workplace task discretion: an international comparative perspective
Bibliographic record
Abstract
Through analyses of Programme for the International Assessment of Adult Competencies (PIAAC) data, the following study considers the direct and indirect association between education and workplace task discretion in 30 countries. By focusing on cross-national comparison, it considers the ways in which these findings are dependent on both the overall level and the range of task discretion across occupational sectors within a country. Theoretically, individual-agency and critical-institutional hypotheses are compared, two perspectives that provide divergent explanations for the indirect association between education and task discretion. The findings partially support both perspectives and there is strong evidence of a relative relationship between education and task discretion. That is, in country contexts where overall levels of task discretion are higher and more equal, education operates less strongly as a stratifying force. The originality of this approach showcases empirically how the association between education and task discretion is context dependent and theoretically how individual-agency and critical-institutional perspectives both contribute to understanding this relationship.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".