Bibliographic record
Abstract
Abstract This article begins by introducing the work of a leading feminist theorist, Donna Haraway, especially her classic article, "A Manifesto for Cyborgs," and its relevance for ecocriticism of the Hebrew Bible. Building on the work of Hilary Klein, Haraway argues that Marxism, feminism and technoscience often work out of origin stories that reinscribe the dualisms that feminists seek to overcome. She refers to all contemporary origin stories as Eden stories. Her analysis of Jane Goodall's work at Gombe is an example. Haraway seeks myths or figures that blur the boundaries between the dualisms that structure oppression, and that may help imagine a more livable future. Much of her work is with "monsters" because they often define the limits of community in Western culture. For instance, although the cyborg has its origin in a horrible myth of patriarchal capitalism about destruction of Earth and escape into space, she suggests the cyborg has the potential to subvert its origin because it blurs the boundaries between humanity and nature and redefines both. The serpent in the Garden of Eden story is such a boundary transgressing monster. It blurs the boundaries between God and nature, and humanity and nature. With the help of the snake, the humans acquire the discernment to fulfill their preordained vocation to serve and protect Earth and choose reality and full humanity with all its ambiguities. An interpretation of the story that focuses on the serpent could decenter heterosexist and anthropocentric readings and serve as a subversive figure for the future of the Earth community.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.028 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".