Strangely inspired: Recovering a neo-Strangean approach to power, authority and knowledge for IPE
Bibliographic record
Abstract
Abstract The academic imprint of Susan Strange, long considered a pioneer in the field of IPE, no longer resonates with contemporary debates about the organization and structure of the global political economy. We argue that her analytical framework continues to be a productive way to think about important current developments, most importantly in relation to what can now be called the digital age and its emergent form of capitalism. We therefore modify and update Strange’s framework to highlight its unique analytical potential, and to set out the operational principles of what we want to call a ‘neo-Strangean’ framework of authority. We then apply it to what Strange identifies as the finance or credit structure. By focusing on a core domain of political-economic power, we demonstrate our principal claim that a neo-Strangean framework of authority points towards an understanding of how new actors and imperatives are reshaping the global political economy. We close by outlining the analytical benefits that a neo-Strangean research agenda promises for the field of IPE, which for us centre on emphasizing the dynamics and disruptive consequences of a knowledge-infused global political economy in a way that pays sufficient attention to ideational and material factors.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".