Bibliographic record
Abstract
Abstract Lemography is a unique collection of critical essays on Stanislaw Lem, writer and philosopher hailed on more than one occasion as a literary Einstein. Its aim is to introduce aspects of his work hitherto unknown or neglected by scholarship and evaluate his influence on twentieth-century literature and culture—and beyond. The book’s uniqueness is enhanced by the global makeup of the contributors who hail from Canada, United States, Great Britain, Belorussia, Poland, Croatia, Finland, and Hong Kong. In all cases, these are scholars and translators who for many years have pursued, and in some cases defined, Lem scholarship. Rather than study Lem as a science fiction writer, each essay commands a wider sphere of reference in order to appraise Lem’s literary and philosophical contributions (the ‘philosophy of the future’). Each focuses on a different novel or a set of novels, examining them critically—i.e. with a view to his strengths and weaknesses. Between them, the essays shed light on virtually all phases of Lem’s multidimensional career, from his very first novel Man from Mars right down to the farewell Peace on Earth. In the process, Lemography marks several ‘firsts’ in English: the first overview of Lem’s life and work against the background of political events in postwar Poland; first-time translations from and critical assessments of Lem’s first three novels; a comprehensive analysis of Lem’s best known novel in the context of all of its cinematic adaptations; a sustained critique of Lem as a pioneer of futurology; a critical introduction to Lem’s supercomputer; and a comparative discussion of the last two novels he ever wrote.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.335 | 0.108 |
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".