Nature and Ethnic Women: An Ecofeminist Reading of Chi Zijian's <i>The Last Quarter of the Moon</i> and Linda Hogan's <i>Solar Storms</i>
Bibliographic record
Abstract
Abstract Although they do not have any factual connections, both contemporary Chinese writer Chi Zijian and Chickasaw writer Linda Hogan have deep concerns about the intertwined environmental and gender issues. By employing an ecofeminist approach, this essay aims to make a comparative analysis of The Last Quarter of the Moon and Solar Storms to analyze ethnic women's affinity with nature and the twin exploitation of nature and women revealed in them. It argues that both the two novels emphasize a general acceptance of the interconnectedness of human and nonhuman world, with The Last Quarter of the Moon focusing more on the unity between nature and humanity, and the lamentation of the demise of the Evenki culture in the process of modernization whereas Solar Storms has a clearer awareness of resistance to the double oppression of the land and Native American women.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".