Open for Politics? Globalization, Economic Growth, and Responsibility Attribution
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
Abstract Previous literature suggests that economic performance affects government approval asymmetrically, either because voters are quicker to blame incompetence than to credit ability (grievance asymmetry) or because they understand that the degree to which policy-makers can affect the economy varies depending on economic openness (clarity of responsibility asymmetry). We seek to understand whether these asymmetries coexist, arguing that these theories conjointly imply that globalization may have the capacity to mitigate blame for bad outcomes but should neither promote nor reduce credit to policy-makers for good economic outcomes. We look for evidence of these asymmetries in three survey experiments carried out in the USA and Canada in 2014 and 2015. We find ample experimental evidence in support of the grievance asymmetry, but our results are mixed on the impact of economic openness on blame mitigation, with some evidence of this phenomenon in the USA, but not in Canada.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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