Environmental thought and ecopoetics in the cultures of post-1989 Central and Eastern Europe
Bibliographic record
Abstract
This article discusses the rise of an environmental awareness of place in post-socialist cultures as a reaction to decades-long authoritarian practices that had shaped and informed human beings’ relation with natural space. Drawing on examples of fiction and non-fiction from Poland and Ukraine (Andrzej Stasiuk, Iurii Andrukhovych, Olga Tokarczuk, and Halyna Pohutiak), this article focuses on the ecocritical and environmentally transformative potential of several representative geographically conscious narratives. To examine such emergent readings of place, the article discusses the development of the narrative paradigms of (bio)regionalism and localism, which, on the one hand, represent alternative ways of conceptualizing the natural environment and, on the other, serve as reactions to earlier socialist constructions of centralist geographies and homogeneous national spaces.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".