My Father’s Car Stranded in the Flooded Desert: Art Therapy in the Face of Climate Chaos
Bibliographic record
Abstract
This reflective editorial essay emerges from a personal experience of being stranded for over 12 hours in a car during a sudden flood between Dubai and Abu Dhabi, an improbable confinement in the desert. As a psychiatrist, accustomed to listening and guiding others, I was instead confronted with my own stillness and isolation. In that immobility, I turned inward and found unexpected companionship in memory: the paintings of Philippe Lemaire, an artist I had met in a Montréal mental-health art workshop. For more than 2 decades, he has painted the same image, My Father’s Car , transforming repetition into resilience. In the desert’s silence, his work became my refuge. The patient’s art, once a therapeutic act, now offers healing to the physician. This essay reflects how art, repetition, and memory can bridge the distance between illness and care, and how art therapy, in a paradoxical reversal, can extend its grace to the healer. When glaciers melt and storms roar, the spectre of climate change sets its pace and the anguish of remaining immobile, or drowned grasps us and draws us closer to narrative medicine.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".