The Social Life of Blame in the Anthropocene
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
The Anthropocene can be understood as a crisis of blame: it is not only a geological era but also a political zeitgeist in which the marks of human agency and culpability can be perceived nearly everywhere. Treating global climate change as a metonym for this predicament, I show how life in the Anthropocene reconfigures blame in four ways: it invites ubiquitous blame, ubiquitous blamelessness, selective blame, and partial blame. I review case studies from around the world, investigating which climate change blame narratives actors select, why, and with what consequences. Climate change blame can lead to scapegoating and buck-passing but also to their opposites. Given that the same ethical stance may lead to radically different consequences in different situations, the nobleness or ignobleness of an Anthropocene blame narrative is not a property of the narrative itself, but of the way in which actors deploy it in particular times and places.
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 | 0.001 | 0.001 |
| 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