Leadership Requirements in the 21st Century : the Perceptions of Canadian Public Sector Leaders
Bibliographic record
Abstract
Problem. Since 1995, with the realization that by 2005 more than 61% of executives in the senior ranks of the Canadian Public Service would be eligible for retirement (La Releve, 1998), the need to recruit and develop competent leaders has become a matter of urgent attention. Method. Public sector leaders were surveyed by mail-in questionnaires as to their ratings of a set of leadership competencies. Analogue research for privatesector leaders, conducted by a colleague, was incorporated for some analysis. A stratified sample of the general public was also surveyed by telephone regarding a subset of the same competencies. Results. Public sector leaders perceived a shift in importance for the following competencies: cosmopolitan/world view, vision, teamwork, ability to learn, teaching skills, negotiation, interpersonal skills, ethics, entrepreneurial skills, problem solving, initiative, and stamina from 20 years ago to the 21st century; however, they rated business/technical and organizational as decreasing in importance. Public sector leaders identified globalization, technology, diversity, and downsizing as important influences on the required leadership competencies for the 21st century. Public sector leaders rated problem solving, ability to learn, initiative, teaching, ethics, and organizational skills lower than the general population. Public sector leaders rated cosmopolitan/world view as more important than did the general population. When public and private sector leaders' data were combined, public sector leaders rated significantly larger shifts in importance for vision, entrepreneurial skills, and negotiating. Public and private sector leaders ranked the top five competencies of vision, communication, teamwork, cosmopolitan/world view and ability to learn similarly.The general public identified the ability to learn as the top-ranked competency. Conclusions. The results of this study inform leadership training and development opportunities for current public sector managers as they plan for the future. This study suggests that public sector leaders perceive significant changes are needed in future leadership competencies. In considering the top five ranked future leadership competencies for the public sector leaders, vision, communication, teamwork, cosmopolitan/world view, and ability to learn, a compelling story can be told about future leadership and the emphasis on future and relational clusters of competencies for leaders.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".