Bibliographic record
Abstract
The international Jungian community has responded to the climate crisis with remarkable engagement, drawing on the insights of analytical psychology to address its psychological and symbolic dimensions. Rooted in Jung’s understanding of the interconnectedness between the personal and the collective, analytical psychology offers a unique framework for viewing ecological collapse not only as an environmental or political issue, but as a crisis of the psyche. This paper explores the myth of Medusa as a symbolic lens through which to understand the unconscious roots of ecological degradation, including the repression of the feminine, cultural trauma, and collective dissociation from nature. Medusa’s story—marked by paralysis, monstrosity, and revelation—mirrors the psychological dynamics of the climate crisis and offers a mythopoetic path toward healing through the integration of the shadow. Drawing on contemporary manifestations of the archetype of the helper as witness, such as truth and reconciliation commissions and Hannah Gadsby’s Nanette, the paper examines how restorative practices of witnessing can facilitate psychic reintegration. In the spirit of Jungian thought, it suggests that facing the unconscious, reclaiming disavowed aspects of the psyche, and renewing our connection with the Earth are essential steps in responding to the ecological emergency.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".