Risk, mourning, politics: Toward a transnational critical conception of grief for COVID-19 deaths in Iran
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
This article examines the case of COVID-19 deaths and grief in Iran in order to shed light on how the biological, social and political ‘risks of contagion’ combine to impact mourning and grief. As a contagious biological agent, the novel coronavirus causes people to suffer, die and grieve alone. But this loneliness is deepened due to social stigma and political abandonment. Conceptually guided by Mary Douglas’s work on the socio-cultural and political constructions of ‘contagion’, Judith Butler’s notion of ‘ungrievable lives’ and Kenneth Doka’s concept of ‘disenfranchised grief’, the authors of this article have undertaken a preliminary mixed-methods study that explores the possibility of a transnational, decolonial understanding of grief in a time of contagion.
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 | 0.000 | 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) | 0.001 | 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