Ecocritical analysis of a selection of short stories from the book Cli-Fi canadian tales of climate change
Bibliographic record
Abstract
Ecocriticism is one of the critical movements that has gained great relevance in recent decades at the international level. This is, partly, due to the fact that in recent times it has been recognized that today's world faces a major problem that corresponds to ecological disasters, which threaten the life of biodiversity and the existence of human beings. In this way, it is considered that science and technology are not enough to combat the global ecological crisis, since such changes and modifications are also found in the way of thinking of individuals, which implies exacerbating their perspective and making them aware through critical literary analysis. Considering the above, it is vital to consider nature in literature and to analyze it critically, as ecologically oriented literature declares a better understanding of nature in its broader meaning. Thus, ecocriticism is an emerging worldwide movement that has distinguished itself from conventional nature by its ethical stance and commitment to the natural world, fostering a connection between the human and non-human world, so, in essence ecocriticism gives emphasis on this ecological consciousness that tends to mitigate man's ego, creating an environmental consciousness in people. From the confrontation of what is perhaps the greatest global crisis of recent times, climate change linked to personal and political indifference has led to several problems that are currently altering the planet and threatening the existence of all beings that inhabit it, science fiction, fantasy, and futuristic works, which transcend traditional end-of-the-world stories by inspiring us to overcome the grim predicted outcomes of our current indifference.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".