Bibliographic record
Abstract
Purpose – In the face of diverse national and international threats, the purpose of this paper is to explore the transformational leadership challenges in emergency services systems in Canada. These adaptive complex systems respond to critical mass emergencies, disasters and catastrophes. Design/methodology/approach – This qualitative research study uses grounded theory to examine the phenomenology of emergency services leadership from systems perspective. Using the theoretical Wu-Shi-Ren (WSR)-Li systems paradigm, this key informant study of 103 emergency leaders from 81 organizations focusses on the systemic challenges that transformational leaders face in emergency services systems. The response rate was 83.5 percent using a semi-structured and open-ended questionnaire. Findings – This key informant study underscores the competencies for transformational leadership and identifies 12 key leadership challenges in the context of the future evolution of emergency services systems. From the use of a grounded theory methodology, the new theory of transcendental transformational emergency leadership is posited. Research limitations/implications – Qualitative studies such as this key informant study underscores the relevance of the WSR-Li systems paradigm and grounded theory approach in discerning leadership challenges that are specific if not unique to emergency services systems. Practical implications – This study underscores the theoretical and pragmatic implications of the transformational leadership challenges for leadership paradigms, innovation and inter-sectorial collaborative networks and possible future emergency services research. Social implications – This study stresses the importance of addressing leadership challenges of emergency services systems as instrumental in ultimately saving lives, minimizing injuries and assuring complete health and social recovery from the scourges of emergency events nationally and internationally. Originality/value – Qualitative studies of the perspectives of strategic emergency leadership of systemic emergency services systems has not hitherto been done in Canada nor internationally. This key informant study underscores the relevance of the WSR-Li systems paradigm and grounded theory approach in discerning transformational leadership challenges that are specific if not unique to emergency services systems. Moreover, from the use of a grounded theory approach, a new theory of transcendental transformational emergency leadership emerged.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".