Seeing and Not-seeing Like a Political Economist: The Historicity of Contemporary Political Economy and its Blind Spots
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
Contemporary political economy is predicated on widely shared ideas and assumptions, some explicit but many implicit, about the past. Our aim in this Special Issue is to draw attention to, and to assess critically, these historical assumptions. In doing so, we hope to contribute to a political economy that is more attentive to the analytic assumptions on which it is premised, more aware of the potential oversights, biases, and omissions they contain, and more reflexive about the potential costs of these blind spots. This is an Introduction to one of two Special Issues that are being published simultaneously by New Political Economy and Review of International Political Economy reflecting on blind spots in international political economy. Together, these Special Issues seek to identify the key blind spots in the field and to make sense of how many scholars missed or misconstrued important dynamics that define contemporary capitalism and the other systems and sources of social inequality that characterise our present. This particular Special Issue pursues this goal by looking backwards, to the history of political economy and at the ways in which we have come to tell that history, in order to understand how we got to the present moment.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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