Deauthorizing Anthropologies and “Authenticating” Landscapes in Margaret Atwood’s The Handmaid’s Tale and Diamela Eltit’s El cuarto mundo
Bibliographic record
Abstract
Margaret Atwood and Diamela Eltit respond with defiance to the logic often present in the discourse of the discovery and conquest of the Americas as set forth by Anne McClintock. As such, Atwood’s The Handmaid’s Tale (1985) and Eltit’s El cuarto mundo [The Fourth World] (1988) function to return the gaze of the discoverer/conquistador by narrating a new version of discovery/conquest from the point of view of female, indigenous and marginalized groups...Their female protagonists...narrate forgotten human experiences, thus composing a new “history of the future” for the New World at the same time that they project the consequences of “foundational fictions” in which bodies, especially female bodies, become metaphorical and actual sites, or historical landscapes, for the construction of national projects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".