From Apotheosis to Reverse Conversion: A Posthuman Reading of Euripides’ and Pasolini’s Medea
Bibliographic record
Abstract
Medea is an ancient mythical figure who has caught the imagination of artists and authors across the centuries. In this essay, I focus on Euripides’ 5th-century BC eponymous tragedy and Pasolini’s 1969 cinematic adaptation. Through a posthuman reading of Medea, I propose that in Euripides the heroine sheds her humanity and embraces divinity in her final apotheosis. In Pasolini’s film, on the other hand, we witness a reverse conversion, a journey towards a loss of the sacred and a spiritual catastrophe. In my analysis, I explore how posthuman forms of subjectivity embrace monstrosity to emphasise the divine power of alterity. I propose that, by deactivating normative discourses and making possible resistance to norms, posthuman subjectivities can be a powerful tool to break the spell of the present and create productive alternatives to the seemingly timeless dominance of global capitalism.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".