Psychodynamics of leadership and climate action: A Jungian perspective
Bibliographic record
Abstract
This paper explores the psychodynamics of leadership in the context of climate action through a Jungian psychological framework. By examining leaders' decisions regarding climate change, the paper highlights the impact of unconscious psychological forces such as repression, projection, and the shadow on leadership behavior. Central to this analysis is the concept of the organizational psyche, where societal and cultural shadows can influence leadership judgment. The study suggests that climate action denialism and leadership responses to environmental crises are often rooted in deeper psychological dynamics, such as the shadow of control and scarcity. These shadows can manifest as denial, avoidance of accountability, or manipulation of environmental narratives to maintain power. The paper also identifies leadership complexes, including attention and opportunity complexes, which can shape leaders' approaches to climate change, leading to performative or opportunistic environmental policies. Finally, the paper argues that addressing these unconscious dynamics and adopting resilient, shared decision-making approaches, such as ensemble leadership, can foster more effective climate leadership and action.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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 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".