Trading Blame: Drawing Boundaries around the Righteous, Deserving and Vulnerable in Times of Crisis
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
Symbolic boundaries shape how we see and understand both ourselves and those around us. Amid periods of crisis, these boundaries can appear more salient, sharpening distinctions between 'us' and 'them' and reinforcing inequalities in the social landscape. Based on 50 in-depth interviews about pandemic experiences among Canadians with disabilities and chronic health conditions, we examine how this community distinguishes between the 'deserving' and 'undeserving', and how emotions related to blame and resentment inform the boundaries they draw. We find that people with disabilities and chronic health conditions drew boundaries based on unequal health statuses and vulnerabilities and between those who are and are not legitimately entitled to government aid. Underlying these dimensions are a familiar set of moral tropes that respondents use to assert their own superiority and to inveigh their frustrations. Together, they play an important role in solidifying boundaries between groups, complicating public perceptions of policy responses to crisis.
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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