Toward representative bureaucracy: predicting public service attraction among underrepresented groups in Canada
Bibliographic record
Abstract
To deliver truly representative and effective democratic governance, a public service (PS) should employ individuals from diverse backgrounds throughout its workforce. In the Canadian government, patterns of underrepresentation persist for each of the four employment equity (EE) groups. This study explores three questions: First, are there differences between the four EE groups in terms of their attraction to jobs in the public sector? Second, what are key work values that predict PS attraction? Third, do EE groups differ in terms of these key work values? Based on a large-scale survey of more than 12,000 final-year Canadian postsecondary students, results indicate that women, Aboriginals, and persons with disabilities report higher levels of PS attraction than visible minorities. Work values such as job security, commitment to social responsibility, benefits, and commitment to diversity were strongly associated with PS attraction, and EE groups differed in their evaluations of the relative importance of these work values.
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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 | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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 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".