Writing the Anthropocene: Environmental Crisis and Oceanic Imaginations in Ruth Ozeki’s A Tale for the Time Being
Bibliographic record
Abstract
By situating “transpacific” as a critical space that allows oceanic exchange between Japan and Canada, the past and the present, and human and nonhuman, this essay critically examines how Ozeki’s third novel, A Tale for the Time Being (2013), helps us apprehend “slow violence,” one that is hard to see or feel due to the workings of time and distant locations. While mainstream Anthropocene discourse has tended to focus more on the perspectives of white elites, writers and scientists based in the Global North, Ozeki’s novel draws the reader’s attention to the fluidity of oceanic movements and intentionally blurs the boundaries between human history and environmental history, especially the links between nuclear bombing in Japan during the World War II and the Fukushima Daiichi nuclear disaster in 2011, in order to emphasize a complex crisis for both human and nonhuman on a planetary scale. Building on what Elizabeth DeLoughrey terms “the oceanic turn” in literatary studies, I argue that Ozeki’s A Tale for the Time Being challenges and works to decolonize the discourses of the Anthropocene and thus invites us to imagine more just and sustainable environmental futures for the more-than-human world.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.010 | 0.013 |
| 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".