Three Faces of the Monster: Interpreting Disability and Creating Meaning in Translations of Alice Munro’s “Child’s Play”
Bibliographic record
Abstract
This article addresses the problematics of creating meaning in literary translation by comparing three versions of Alice Munro’s short story “Child’s Play” translated into German, Ukrainian, and Russian. Proceeding from a fluid and unstable source text that represents the conflict of socially perpetuated normative thinking and non-conforming “monstrous” bodies marked by intellectual disability, the translators renegotiate the meaning of embodied otherness and its stigmatization in society in unique ways that reflect their personal perspectives on translation and individual agendas in their translation projects. Munro’s focus on the relationship between a special needs girl and the narrator responsible for her death exposes the society’s deeply ingrained aversion, fear, and hate against people with intellectual disabilities. These prejudiced views find their expression in equating “special” bodies with passive objects, repulsive animal-like creatures, and wild monsters. However, this metaphorical language reflects first and foremost on the narrator, whose hateful speech, breaking through the surface of her seemingly impartial account, unmasks the true faces of the victim and the perpetrator. Each translator ascribes a different meaning to Munro’s deliberately ambiguous narrative: while the German version accentuates the original’s insistence on complexity and uncertainty, the Ukrainian translation increases intensity of the protagonist’s emotional involvement bringing her hatred and disgust to the extreme to make a point about social marginalization of the vulnerable other. The Russian text, conversely, rationalizes the narrator’s actions and turns her tale into a deeply tragic personal confession to align it with a typical plotline of the Russian literary tradition. Overall, three target-language versions of the story add new dimensions to the original text and further destabilize it by consolidating their preferred readings in their treatment of the socially constructed opposition between “monstrous” and “normal”.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".