Bibliographic record
Abstract
Introduction: Lorna Fitzsimmons (California State University) 1. Global Dominion And Ambitions Of Faust: Arnd Bohm (Carleton University) 2. Stand In Order, And Be Damn'd: William Mountfort's Life And Death Of Doctor Faustus (1697): Judy A. Hayden (University of Tampa) 3. Viel Larm Um Nichts? Reading Sound In Faust I & II: Alan Corkhill (University of Queensland) 4. Question Of Technology: Faust And Heidegger: Claudia Brodsky (Princeton University). 5. Much In Mode Of Goethe's Mephistopheles: Faust And Byron: Fred Parker (University of Cambridge) 6. Coleridge's Translation Of Goethe's Faust: Frederick Burwick (UCLA) 7. 'Faust' Legend in 20th and 21st century Music: Maria Lacche (University of Paris-Sorbonne, Paris IV) 8. Myth Of Faust In Works Of Klaus, Thomas, And Frido Mann: Leena Eilitta (University of Helsinki) 9. Enchanted Hand: Faust And European Art Film: Inez Hedges (Northeastern University) 10. Reception Of Goethe's Faust In Asia: Adrian Hsia (McGill University) 11. Faust I In India: Kathakali Adaptation: David G. John (University of Waterloo) 12. Faust And Magus Tradition In Rebel Angels By Robertson Davies: Richard Ilgner (Dalhousie University) 13. The Devil Has All Good Tunes: Faustian Rock: Paul Malone (University of Waterloo) 14. Alchemy Of Power And Freedom - A Contextualisation Of Slobadan Snajder's Play Hrvatski Faust (The Croatian Faust): Duska Radosavljevic (University of Bristol) 15. Chinese Faust Productions: Antje Budde (Humboldt University) 16. Postcolonial Faust: Africa And Brazil: Katherina Keim (Ludwig Maximilians University) 17. Reality Just Arrived - Mark Ravenhill's Faust Is Dead: Bree Hadley (Queensland University of Technology) 18. Performative Faust: Symbolic Literative, Liminal Interactive, Reiterative Reenactive: Eric Hadley Denton (University of Applied Sciences in Berlin) 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.018 |
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".