Purgatory islands and climate death-worlds: Interrogating the journalistic imperative to witness the climate crisis through the lens of war
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
In this article, I examine and critique how the current and predicted future impacts of climate change are often reported on through the aesthetics and discourse of war. I argue that the journalistic imperative to witness climate change is important to consider here. Indeed, news images and descriptive accounts of climate change are often privileged for their evidentiary value according to a very strict set of visual criteria shaped by an established definition of what violence and war look like. Through a multimodal analysis of news coverage of the aftermath of Hurricane María across prominent US news magazines, I examine what constitutes compelling evidence of climate change, why and to what end in terms of the types of responses featured and proposed by journalists. Ultimately, my analysis reveals how Puerto Rico is demarcated as a ‘death-world’ across publications, effectively casting Puerto Rico as a ‘purgatory island’ dependent on the help of the United States represented as a saviour.
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 | 0.002 | 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) | 0.000 | 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 it