“There Are Things You Don’t Get Over”: Resistant Mourning in Lisa Moore’s February
Bibliographic record
Abstract
American writer Wendell Berry argues that there is an explicit link between the tendency to treat places primarily as sites for resource extraction and treating people like exchangeable parts. It is this neoliberal rhetoric of abstraction—of people and place — that Lisa Moore’s novel, February , critiques in its portrayal of the sinking of the oil rig, Ocean Ranger , off the coast of Newfoundland in 1982. The novel reveals the grief of one family following the loss of their father, and illustrates how the impact of a tragedy of this scope lasts for generations. Perhaps more importantly, though, the novel shows how one widower’s refusal to simply get over the death of her husband resists the kind of corporate amnesia that treats people and places as abstractions that can be easily replaced. Her prolonged grief suggests that “resistant mourning,” a concept advocated by proponents such as Jacques Derrida and R. Clifton Spargo, might offer the possibility of an ethical response to the tragedies caused by resource extraction.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".