Rethinking the relation between human and nature: Insights from science fiction
Bibliographic record
Abstract
Abstract Facing the accumulation of data that suggest near‐future dramatic changes in our way of life, current visions of transition are anchored in an incremental paradigm that excludes radical change. Using science fiction literature and cinema, this article aims to build such drastic change hypotheses and explore the political–ecological features of future societies emerging from a rupture phenomenon. These post‐ecological societies need to be imagined and analyzed in order to better prepare for eventual dramatic changes and to engage in prospective exercises that contemplate the possibility of flourishing for all in the future. Our work builds on the idea that other forms of knowledge, such as artistic and creative insights produced by science fiction literature and cinema, are promising sources of imagination and must be engaged in a dialog with sociology and other social sciences in order to develop hypotheses of possible futures. The paper introduces six such hypotheses called “scenarios” that were induced from the systematic study of a body of work in classical science fiction production.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".