Bibliographic record
Abstract
Abstract This book considers the views that Britons, colonists, and North American Indians took of each other during a period in which these people were in a closer and more fateful relationship than ever before or since. It is, therefore, a book about exploration, empire, and the forms of representation that exploration and empire gave rise to — in particular the form called Romanticism, in which ‘Indians’ appear everywhere. It is not too much to say that Romanticism would not have taken the form it did without the complex and ambiguous image of Indians that so intrigued both the writers and their readers. Most of the poets of the Romantic canon wrote about them — not least Southey, Wordsworth, and Coleridge; so did many that have only recently been brought back to attention — including Bowles, Hemans, and Barbauld. Yet Indians' formative role in the aesthetics and politics of Romanticism has rarely been considered. This book aims to bring that formative role to our attention, to show that the images of native peoples that Romantics writers received from colonial administrators, politicians, explorers, and soldiers helped shape not only these writers' idealizations of ‘savages’ and tribal life, but also their depictions of nature, religion, and rural society. The romanticization of Indians soon affected the way that real native peoples were treated and described by generations of travellers who had already, before reaching the Canadian forest or the mid-western plains, encountered the literary Indians produced back in Britain. Moreover, in some cases, Native Americans writing in English turned the Romanticization of Indians to their own ends. This book highlights their achievement in doing so — featuring discussions of several little-known but brilliant Native American writers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".