Grief Unspoken in Martyna Majok’s <i>Cost of Living</i>
Bibliographic record
Abstract
Even though we do not decide when we finish grieving, we are told by the world in manifold ways when we should finish grieving. However, Judith Butler argues that there is a dehumanizing harm in this societal pressure to rush grief. She maintains that time spent in grief is important because it calls our attention to the vulnerability and interdependence we all have in common. With Butler’s idea in mind, and with a focus on embodiment that takes direction from Maurice Merleau-Ponty, I argue that Martyna Majok’s Cost of Living, a play centred on relationships between disabled people and their caregivers, not only dramatizes an earnest approach to grief but also shows us rich modes of connection that are shaped by grief. Importantly, Majok portrays these connections as they form in time, illuminating overlaps between grief time and crip time out of which fresh possibilities of affiliation arise. Silence and faltering speech are crucial in Majok’s portrayal of characters’ attempts at love in and through loss – attempts whose political import is found in the very uncertainty of their outcome. Majok’s silences also open up participatory spaces for readers to engage in an affective experience of grief, offering a taste of what it might be like to pursue a love without guarantees.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| 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".