Bibliographic record
Abstract
Cultural fictions - texts written from the perspective of the edge - are the focus of this exciting and enlightening book. The author examines the formations of narratives of identity in contemporary 'borderline' fictions and films. The work of migrant and marginalised groups located at the boundaries of nations, cultures, classes, ethnicities, sexualities and genders, is explored through an intricate weaving of theory with textual analysis. Organised around the themes of memory, tradition and 'belonging', the book proposes the space of 'migrant' writing - an emerging third space - as one that challenges fixed assumptions about identity. The cross-cultural range - including texts from British, Caribbean, Chinese-American, Indo-Caribbean, Canadian, Cuban and Indian writers; the original discussion of authors such as Maxine Hong Kingston, Gloria Anzaldua, Amy Tan, Gish Jen, Hanif Kureishi and Chang-rae Lee; and engagement with the work of theorists including Bakhtin, Freud, Lyotard, de Certeau, Deleuze and Guattari, produces a significant contribution to the broadening definitions of ethnicity and the 'post-colonial'. Works explored include Jasmine , Borderlands , The Joy Luck Club , The Wedding Banquet , Dreaming in Cuban , My Year of Meat , Buddha of Suburbia and East is East . These contemporary texts and films will make this book accessible to a broad range of readers.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.027 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 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".