Bibliographic record
Abstract
The first Polish translation of one of the best-known articles on the poetics of science fiction, considered nowadays a must-read reference in the field. In this classical piece, Darko Suvin famously argues in favour of introducing the concept of cognitive estrangement modelled after Viktor Shklovsky’s ostranenie (often questionably rendered as defamiliarisation) as well as Bertolt Brecht’s Verfremdungseffekt (as defined in his Kleines Organon für das Theater). Arguing, in due course, for acknowledging the cognitive and epistemological potential of thus defined estrangement, Suvin proceeds to introduce and analyse two distinct models for studying science fiction from both historical and formalist perspective—the extrapolative model and analogic model—which altogether help at outlining features of the most prototypal science fiction. This translation is also supplemented with an addendum from 2014 wherein the author revisits his thoughts from Marxist perspective and ponders on their relevance in reference to a more politically inclined debate in science fiction studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".