POETRY IN PANDEMIC TIMES: MOURNING COLLECTIVE VULNERABILITY IN SUE GOYETTE’S SOLSTICE 2020. AN ARCHIVE.
Bibliographic record
Abstract
Focusing on Canadian poet Sue Goyette’s collection Solstice 2020. An Archive (2021), this article examines how dealing with the effects of a global pandemic through the medium of poetry can act as a powerful catalyst in raising awareness about collective vulnerability and mourning. During the locked-down days of 2020, Goyette felt it was her responsibility as a poet to find words to convey the sense of shared vulnerability people experienced in the face of a momentous event that confined them to their homes for days on end. Drawing on vulnerability theory, ecophilosopher David Abram’s thinking on the more-than-human world, Stacy Alaimo’s concept of trans - corporeality, as well as on recent theorizations on the COVID-19 pandemic, this article argues that Goyette’s Solstice 2020 is a most interesting sociological document that represents collective vulnerability, testifies to the conundrums posed by the still ongoing pandemic, and makes visible the deep affinities between humankind and 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.023 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".