Character and Trust in Crisis Leadership: Probing the Relationships Among Character, Identification-Based Trust, and Perceptions of Effectiveness in Political Leadership During the COVID-19 Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The COVID-19 pandemic provided an opportunity to explore the relationships among character, identification-based trust, and perceptions of leadership effectiveness in the context of crisis leadership. Focusing on the leadership of Canadian Prime Minister Justin Trudeau, we first explore whether Canadians of voting age believe character is important in political leadership during the pandemic. Second, we examine voter perceptions of the importance of the dimensions of character identified by Crossan et al. (2017) and to what extent voters perceive Trudeau demonstrates the behaviors associated with these dimensions. Third, we explore the role of identification-based trust in the relationship between character and perceptions of leadership effectiveness. Fourth, we study the relationships between character, trust, and effectiveness during dynamic conditions where the stakes for citizens with respect to health and social well-being are high. The results of our study connect character to trust and perceived effectiveness of a political leader during a crisis.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it