âA PIECE OF THE ENDLESS BODY OF THE WORLDâ: GENDER, IDENTITY, AND THE COEXISTENCE OF BINARY FORCES IN LOUISE ERDRICHâS THE LAST REPORT ON THE MIRACLES AT LITTLE NO HORSE, TRACKS, AND LOVE MEDICINE
Bibliographic record
Abstract
Louise Erdrich’s North Dakota series explores the historical and contemporary hardships faced by aboriginals. Her novels center on the families that live on the fictional reservation of Little No Horse and the communal and personal fragmentation that occurs as a result of colonization. Focusing on three of the novels in Erdrich’s North Dakota works, I identify the different ways in which Erdrich’s characters respond to the imposition of Western values. To frame my thesis, I focus on Dee Horne’s examination of subversive and colonial mimics. By examining the various responses to the colonization of the reservation, Erdrich’s novels reveal the possibilities of reconstructing Native communities. I identify the ways in which Erdrich exposes the similarities that exist between traditional Native spirituality and Catholicism which in turn suggests the ways in which a harmonious balance can be achieved between these two cultures.
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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 | 0.000 |
| Science and technology studies | 0.020 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".