Bibliographic record
Abstract
Purpose The public administration literature on representative bureaucracy identifies several advantages from having a diverse public service workforce, but it has not explicitly focused on leadership. For its part, the public sector leadership literature has largely ignored the issue of gender. The purpose of this paper is to rectify these limitations by advancing the argument that having a representative bureaucracy is fundamentally a leadership issue. Moreover, it assesses the extent to which representativeness has been achieved in the Canadian federal public service. Design/methodology/approach The paper begins with a discussion of the importance of a representative bureaucracy for democratic governance. In the next section, the case is made that representativeness is fundamentally intertwined with the concept of administrative leadership. Then, the article provides an interpretive case study analysis of the federal public service in Canada, which is the global leader in terms of women's representation in public service leadership positions. Findings The initial breakthrough for gender representation in the Canadian federal public service was 1995. From that point onward, the proportion of women in the core public administration exceeded workforce availability. However, women continued to be modestly under-represented among the senior leadership cadre throughout the early 2000s. The watershed moment for gender representation in the federal public service was 2011 when the number of women in the executive group exceeded workforce availability for the first time. Significant progress toward greater representativeness in the other target groups has also been made but ongoing vigilance is required. Research limitations/implications The study only determines the passive representation of women in the Public Service of Canada and is not able to comment on the extent to which women are substantively represented in federal policy outcomes. Originality/value The paper traces the Canadian federal government's progress toward achieving gender representation over time, while commenting on the extent to which the public service reflects broader diversity. In doing so, it explicitly links representation to leadership, which the existing literature fails to do, by arguing that effective administrative leadership is contingent upon having a diverse public service. Moreover, it highlights the importance of gender for public sector leadership, which hitherto has been neglected.
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.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".