Enhancing leadership capacity in the public sector: branding as an employer of choice
Bibliographic record
Abstract
Purpose Public services around the world are grappling to enhance their leadership capacity. One approach is to provide leadership training and development to public servants, while another would be to target and hire individuals with proven leadership ability. The purpose of this paper is to focus on that latter strategy by critically examining the concept of branding the public service as an employer of choice as a means of recruiting and retaining sufficient leadership capacity. Design/methodology/approach The paper begins by outlining the challenge faced by governments to recruit the best and brightest employees into the public service. It then reviews the literature on the concept of branding as an employer of choice, including its perceived advantages and limitations, before undertaking a case study analysis of the 2007 public sector branding initiative of the Canadian federal government. Findings It is very difficult to develop a single, master brand given the diversity and complexity of the hundreds of organizations that comprise the public sector. While it may be a popular concept for private sector organizations, the concept of branding the public sector as an employer of choice has yet to demonstrate its merit. Canada, which was ostensibly the vanguard in terms of public sector branding, has been unable to position the federal public service as an employer of choice. Originality/value There is very little research on the use of branding as an employer of choice in the public sector. This paper contributes to the knowledge about the limitations of such strategies for ensuring that the public sector has the requisite leadership capacity.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".