The Leader as Catalyst: On Leadership and the Mechanics of Institutional Change
Why this work is in the frame
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Bibliographic record
Abstract
Individual leaders have been central to the transformation of organizations, political institutions and many instances of social and economic reform. In this paper we take a first step towards analyzing the role of leadership to ask: when and how does a leader engineer change? We show that while underlying structural conditions and institutions are important, there is an independent firstorder role for individual agency in bringing about change and thus transforming the institutions. We emphasize the key nature of the symbiotic relationship between followers decisions’ to willingly entrust their faith in the leader and the leader’s initiative at leading them. This two-way interaction can endogenously give rise to threshold effects; slight differences in the leader’s ability or the underlying structural conditions can dramatically improve the prospects for successful change. Given the centrality of this leader-follower relationship, we further explore conditions under which an individual may deliberately prefer to follow an ambitious leader with divergent interests rather than a benevolent one with congruent preferences. Thus by virtue of having followers, both ‘good’ and ‘bad’ leaders may be effective at bringing about change.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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