An Interpretation of Cather’s Prairie Trilogy From the Perspective of Diaspora Criticism
Bibliographic record
Abstract
Willa Cather (1873-1947) is an American novelist, short story writer, essayist, journalist and poet. She is widely acknowledged as one of the foremost American authors in the 20 th century. Cather’s unique observations of the American West find full expression in her prairie trilogy, composed of O Pioneers! (1913), the Song of the Lark (1915), and My Antonia (1918). However, the three novels have got unequal attention from both international and domestic scholars. There are much more studies on O Pioneers! and My Antonia than The Song of the Lark . The literary approaches already in use are mainly feminism and ecocriticism. But the author of the thesis holds that the heart of them is about the material and spiritual realities of those immigrants in the American West in the dawn of the 20 th century, thereupon, it is reasonable to put them together for a comparative study. To have a better understanding of the transnational phenomena observed by Cather, we can adopt Diaspora criticism to find out what Cather wants to convey to us: the cultural logic of beyond, against the singularities of identities and of perspectives. Hopefully, approaching Cather’s prairie trilogy from the perspective of Diaspora criticism will shed some new light on her novels.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.029 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".