Bibliographic record
Abstract
Abstract In this article, I suggest that economic globalization is experiencing a particularly serious kind of crisis: a “polycrisis.” Use of this term has proliferated recently but with many meanings. I propose that it be defined as a cluster of distinct crises that interact in ways that they and/or their effects tend to reinforce each other. This core definition enables the identification of distinct types of polycrises that capture multiple uses of the term to date. These types vary according to the spatiality, temporality, and level of generality of each polycrisis as well as the traits of its constituent crises. The analytical utility of the term, when defined in this way, is to encourage scholars to analyze interconnections between different kinds of crises across various issue areas and to reject monocausal analyses of crisis clusters they study. Applying this understanding of the concept to the study of economic globalization, I focus on five constituent crises that are contributing to its current polycrisis. This application of the term highlights yet another type of polycrisis, illustrating the importance of the conceptual issues raised above. The article concludes with some cautions about efforts to predict economic globalization's future and about ways in which polycrisis discourse may serve political projects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.038 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".