Strangers in the South Seas: The Idea of the Pacific in Western Thought
Bibliographic record
Abstract
Long before Magellan entered the Pacific in 1521 Westerners entertained ideas of undiscovered oceans, mighty continents, and paradisal islands at the far ends of the earth-such ideas would have a long life and a deep impact in both the Pacific and the West. With the discovery of Tahiti in 1767 another powerful myth was added to this collection: the noble savage. For the first time Westerners were confronted by a people who seemed happier than themselves. This revolution in the human sciences was accompanied by one in the natural sciences after Darwin's momentous visit to the Galapagos Islands. The Pacific produced other challenges for nineteenth-century researchers on race and culture, and for those intent on exporting their religions to this immense quarter of the globe. As the century wore on, the region presented opportunities and dilemmas for the imperial powers, a process was accelerated by the Pacific War between 1941 and 1945. Strangers in the South Seas recounts and illustrates this story using a wealth of primary texts. It includes generous excerpts from the work of explorers, soldiers, naturalists, anthropologists, artists, and writers--some famous, some obscure. It shows how "the Great South Sea" has been an irreplaceable "distant mirror" of the West and its intellectual obsessions since the Renaissance. Comprehensively illustrated and annotated, this anthology will introduce readers to a region central to the development of modern Western ideas.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".