Bibliographic record
Abstract
Act 1 of the ReTAGS Speaker Series. Presented by Prof. Ato Quayson, author of the recently published book 'Tragedy and Postcolonial Literature’ (Cambridge University Press, 2021). Prof. Quayson spoke on the topic of: Suffering and the Ethical Complex In and Outside Tragedy. Presented online (Zoom meeting) on Thursday 08 July 2021 at 18:00 SAST. Chaired by Prof. Mark Fleishman. ------------------------------------------ Prof. Ato Quayson is The Jean G. and Morris M. Doyle Professor of Interdisciplinary Studies at Stanford University, where he has been since 2019. Prior to that he taught at the University of Cambridge, the University of Toronto, and at NYU. He has published 6 monographs and 9 edited collections and is an elected member of the Ghana Academy of Arts and Sciences, the Royal Society of Canada, and of the British Academy. He is an immediate Past President of the African Studies Association and is also general editor of the Cambridge Journal of Postcolonial Literary Inquiry and also curates Critic.Reading.Writing on YouTube.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.511 | 0.419 |
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".