Postcolonial Gothic Fictions from the Caribbean, Canada, Australia and New Zealand
Bibliographic record
Abstract
This book explores Postcolonial Gothic in four different locations, providing a comparative analysis of the way the Gothic has provided postcolonial writers with a means to express the anxieties of postcolonial experience and the traumatic legacies of colonialism, expressed through novels, short stories and poetry. Most of the texts examined are contemporary, including those by Derek Walcott, Shani Mootoo, Margaret Atwood, Peter Carey and Keri Hulme. The book provides a timely addition to the study of the postcolonial. Popular forms in relation to the postcolonial have been a relatively neglected area of study and this is particularly true of the Gothic, despite its prevalence in postcolonial literature. The book contains six chapters: an introduction and theoretical overview, conclusion, and chapters on Caribbean Gothic, Canadian Gothic, Australian Gothic and New Zealand Gothic, to provide an overview of the Gothic in the national or regional context, placing the emphasis on the postcolonial and focusing on the way the Gothic is utilised by white settlers and indigenous people in Canada, Australia and New Zealand, by the descendents of people forcibly mobilised through slavery in the Caribbean, and by other more recent migrants to, or between these locations.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".