Bibliographic record
Abstract
Timeline Introduction, (University of Reading and University of Northampton, UK) 1. Beckett and Germany, Gaby Hartel (Berlin, Germany), Thomas Irmer (Berlin, Germany) and Klaus Volker (Berlin, Germany) 2. Shades of Negativity and Self-Reflexivity: The Reception of Beckett in German Literary Studies, Eckart Voigts-Virchow (University of Siegen, Germany) 3. Beckett and France, Mark Nixon (University of Reading, UK) 4. Beckett Among the Philosophes: The Critical Reception of Samuel Beckett in France, Shane Weller (University of Kent) 5. Samuel Beckett in the Low Countries, Dirk Van Hulle (University of Antwerp, Belgium) 6. Thinking of 'a rhyme for Euganean': Beckett in Italy, Daniela Caselli (University of Manchester) 7. Beckett and Britain, Mary Bryden (University of Northampton, UK) 8. Beckett's Nordic Reception, Ulrika Maude (University of Durham, UK) 9. Beckett and Poland, Marek Kedzierski (Freiburg, Germany) 10. Samuel Beckett Behind the Iron Curtain, Octavian Siau (University of Otago, New Zealand) 11. A Long Time Coming: The Critical Response to Samuel Beckett in Spain and Portugal, Jose Francisco Fernandez (University of Almeria, Spain) 12. Beckett and the US, Stan Gontarski (Florida State University, USA) 13. Beckett: China and Hong Kong, Jianxi Lie (Lignan University, Hong Kong) and Michael Ingham (Lignan University, Hong Kong) 14. Japanese Reception of Samuel Beckett, Yoshiki Tajiri (University of Tokyo, Japan) 15. The Reception of Beckett in Contemporary Japanese Theatre, Mariko Hori Tanaka (Aoyama Gakuin University, Japan) 16. Beckett in New Zealand, Chris Ackerley, (University of Otago, New Zealand) 17. International Reception of Beckett: Australia, Russell Smith (Australian National University, Australia) 18. Samuel Beckett's Reception in Ireland, Sean Kennedy (St. Mary's University, Canada) Bibliography Index.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.032 | 0.011 |
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".