Friendly metaphors : essays on linguistics, literature and culture in honour of Aleksander Szwedek
Bibliographic record
Abstract
Contents: Jacek Fisiak: Preface - Krzysztof Andrzejczak: From Cuba to Iraq: American writers on war - Krystyna Drozdzial-Szelest: Applied linguistics and its contribution to language pedagogy - Tomasz Fojt/Przemyslaw Zywiczynski: The contribution of Benjamin Lee Whorf to the cognitive linguistics view of metaphor - Grzegorz Iwanciw: Evaluating Websites for educational purposes - Irena Janicka-Swiderska: The possible/impossible worlds in Macbeth - Wojciech Jasiakiewicz: Once in a Polish country-house everything is easy except to get out again. Poles in selected British travel writing texts of the 1860s - Tomasz Krzeszowski: A tract about wine in the Bible -Jan Majer/Halina Majer: English on target: a second, third, foreign or international language? - Aneta Mancewicz: Metatheatre(s) in Tom Stoppard's Rosencrantz and Guildenstern are Dead, The Real Inspector Hound and Harold Pinter's The Lover - Michael Oliver: Going for the Jagular: metaphor and paronomasia in motoring texts - Dariusz Pestka: Charles Ives: between passion and innovation - Agnieszka Salska: Engulfing mysteries of things, people and places: Paul Bowles' stories - Pawel Schreiber: Tom Stoppard's Travesties: the old man and history - Waldemar Skrzypczak: 'Avderbiality': the 'backstage of cognition' - Piotr Stalmaszczyk: A note on Otto Jespersen's contribution to the theory of predication - Adela Styczynska: The moral dilemma of a twentieth-century man: Henry James' The Birthplace - Maria Walat: Otherness: training in cultural difference - Ewa Welnic: Crossing borders: Eastern European experience in Canada - Marta Wiszniowska: Victims unto perpetrators: the growth of underage protagonists - Karl Wood: Spa culture and social exclusivity: some historical reflections.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".