Contemporary British Literary Culture, Higher Education, and the Diversity Scandal
Bibliographic record
Abstract
Guiding Frameworks and Terminology………………………………………….16 Chapter Breakdown……………………………………………………………...25 Chapter One: "This really is a posh boys' and girls' job": The Postwar Book in and beyond the Art School………………………………………………………………….34 1.1 Introduction……………………………………………………………………...34 1.2 Higher Education and the Creative Economy…………………………………...42 1.3 The Postwar Book in Art School Context……………………………………….49 1.4 Post-Art School Literary Production…………………………………………….60 1.5 Concluding Remarks: Notes for the Sociology of Literature……………………69 Chapter Two: Making Readers: BookTrust's Multicultural Programming in the Creative Economy Context…………………………………………………………….72 2.1 Recent Innovations in Literary Commodification……………………………….73 2.2 Literature and Multicultural Education………………………………………….75 2.3 The New Black Writing………………………………………………………….81 v 2.4 Conclusion……………………………………………………………………….90 Chapter Three: Corporate Social Responsibility, anti-meritocratic egalitarianism, and the case of Hari Kunzru's Transmission…………………………………………94 3.1 The decibel-Penguin Prize……………………………………………………...100 3.2 A Reading of Hari Kunzru's Transmission…………………………………….107 3.3 Institutionalized Racism in British Publishing…………………………………118 3.4 Concluding Remarks……………………………………………………………131 Chapter Four: "Editing from another perspective": The Complete Works as Alternative Culture of Writing……………………………………………………….133 4.1 Race and Ethnicity in British Poetry Publishing………………………………..134 4.2 Warsan Shire and the Politics of Production…………………………………...139 4.3 London's Alternative Culture of Writing………………………………………152 4.4 Conclusion……………………………………………………………………...
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".