Beyond Entertainment and Philosophy: Climate Crisis and Social Responsibility in Eason Chan's "Fear and Dreams" Concert
Bibliographic record
Abstract
Eason Chan's "Fear and Dreams" tour has become an immersive experience that combines philosophical reflection and visual art in the context of the increasingly severe global climate crisis. In recent years, extreme weather events have become more frequent, and the threat of climate change has become more pronounced, especially in 2025, with numerous unusual phenomena, further sounding the alarm for environmental protection. Against this backdrop, the concert, through meticulously designed stage elements and music, explores the fears and dreams within the human heart while profoundly reflecting on environmental issues. The stage design, combining light and shadow, installations, and projections, presents both the crisis and hope brought about by climate change, symbolizing the deterioration of the natural environment and the urgent need for ecological protection. The performance not only conveys emotions through music but also strengthens the spread of environmental protection ideas through visual expression, awakening the audience's awareness and action regarding climate change. This performance provides an innovative example of combining art and environmental protection, showcasing the unique power of art in enhancing social consciousness and promoting the integration of culture and ecological protection, offering important insights for future cultural dissemination and environmental protection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".