Elucidating Gyn/Ecology in the Novel The Bean Trees by Barbara Kingsolver
Bibliographic record
Abstract
The aim of this paper is to prove that women and nature are mutually integrated with our ecosystem while they face oppression at the hands of materialistic greed and hegemony. Expanding this hypothesis, the paper discusses women’s oppression by a patriarchal society and how the patriarchal society exploits nature as depicted in the novel The Bean Tree (1988). The novel The Bean Tree (1988) by Barbara Kingsolver is set in the southern part of America and revolves around Plucky Tylor Greer, a young woman who is running away from her difficult past and becomes a guardian of a child by accident. As she comes to terms with her situation, the readers could witness the destruction of nature and women in the narration. In the elucidation of the concept Gyn/Ecology, the researcher also examines the sub-themes of domestic violence, child abuse, geopolitics, etc. Employing the theoretical conception of Mary Daly’s Gyn/Ecology, the researcher also calls attention to the prioritization of Gyn/Ecology in sustaining nature.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".