Ireland, India and Nationalism in Nineteenth-Century Literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this innovative study Julia M. Wright addresses rarely asked questions: how and why does one colonized nation write about another? Wright focuses on the way nineteenth-century Irish writers wrote about India, showing how their own experience of colonial subjection and unfulfilled national aspirations informed their work. Their writings express sympathy with the colonised or oppressed people of India in order to unsettle nineteenth-century imperialist stereotypes, and demonstrate their own opposition to the idea and reality of empire. Drawing on Enlightenment philosophy, studies of nationalism, and postcolonial theory, Wright examines fiction by Maria Edgeworth and Lady Morgan, gothic tales by Bram Stoker and Oscar Wilde, poetry by Thomas Moore and others, as well as a wide array of non-fiction prose. In doing so she opens up new avenues in Irish studies and nineteenth-century literature.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it