Nolite te bastardes carborundorum: discursos, poderes e resistências em The handmaid’s tale
Bibliographic record
Abstract
The handmaid's tale (or O conto da aia, in a Brazilian version) is an American television series of great success in Brazil. Based on the novel of the same name by canadian writer Margaret Atwood, originally published in 1985, the production was released in 2017 by the streaming service Hulu and presents a dystopian narrative that takes place in Gilead: a fictional place located in what would be the territory of the United States and where, after a coup d'état, a theocratic revolution is promoted. In the plot, which has already spanned four seasons (and which has been renewed for the fifth), Gilead presents a historical urgency linked to the low birth rate, a justification from which an entire device of power is organized – around the theocratic State – which not only takes rights away from women in general, but also sexually enslaves fertile women. Starting from this scenario and making use of photograms, this research has the objective of mapping the practices of power and resistance present, mainly, in the first season of the series, concretized within the device that organizes the relations of force in the narrative. It will therefore be a matter of identifying how such relationships are exercised over the bodies and lives of the characters, through technologies and techniques of sovereignty, disciplines and biopolitics. But beyond that, it will also be a matter of analyzing how such power relations produce places of resistance that emerge in social microspheres. As a theoretical-methodological contribution, we use the Foucaultian Discourse Analysis articulated with the discussion undertaken by Frédéric Gros (2018) around a stylistics of (dis)obedience.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".