The Impact of Climate Change on Human Lives in James Graham Ballard's The Drowned World
Bibliographic record
Abstract
Climate fiction, also known as cli-fi, was coined by the American journalist Dan Bloom.It has gained popularity in the last decade due to the urgent and widespread discussion of climate change and has been explored in various literary forms.The present research aims to investigate the impact of climate change and global warming on human lives.To achieve this objective, the study employs a descriptive-analytical approach to examining the concept of climate change in The Drowned World.The analysis of the novel ultimately reveals that climate change has a profoundly negative impact on human life, painting a bleak picture of the world.Additionally, the book reflects a deep conflict between characters who believe in climate change and its catastrophic effects on our lives and those who deny its existence, revealing that the latter group has the upper hand.As shown in the novel, the primary cause of climate change is natural processes rather than human activities.Finally, the study concludes that nature can be more accurately characterised as a winner and humans as victims.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.022 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".