Biopower under a state of exception: stories of dying and grieving alone during COVID-19 emergency measures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During the COVID-19 pandemic, restrictions for visitors and caregivers in healthcare settings and long-term care (LTC) facilities were enacted in the larger context of public health policies that included physical distancing and shelter-in-place orders. Older persons residing in LTC facilities constituted over half of the mortality statistics across Canada during the first wave of the COVID-19 pandemic. Using the poststructuralist work of Agamben, Foucault and Mbembe we conducted a thematic analysis on news reports. The extracts of media stories presented in our paper suggest that the scholarship on (bio)power and necropolitics is central for understanding the ways the COVID-19 crisis reveals the pragmatic priorities-and the 'health' and political values-that undergird the moral imagination of the public, including the educated classes of advanced Western democracies. Our critical analysis shows that by isolating individuals who were sick, fragile, and biologically and socially vulnerable, undifferentiated population management policies like social distancing, when piled on the structural weakness of health systems, reproduced inequities and risk for those in need of medical care, advocacy, and social companionship in acute moments of illness, death and grief. Considering the unprecedented deployment of governmental power via public health interventions based on social regulation to protect the population during the crisis-how can we understand so much death and suffering among the most vulnerable?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it