Reinforcing unevenness: post-crisis geography and the spatial selectivity of the state
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
This paper considers the unevenness of the 2007–08 crisis by examining the literature of England's North–South divide. From the 1980s this longstanding divide was exacerbated as a result of promoting London as a global financial hub, so when the crisis hit many expected some regional economic convergence as redundancies spread throughout the financial sector. This has, however, not taken place and previous patterns of uneven development have rather been reinforced. Attempts have been made to explain this deepening of established geographical patterns as the result of different regions’ degrees of economic resilience, but this approach is, however, problematic because it naturalizes crises, downscales responsibility and neglects politics. Inspired by Martin Jones’s concept of the ‘spatial selectivity of the state’, the paper will rather argue that to understand the uneven geography of the economic crisis, one has to look beyond localized resilience to how the state’s austerity policies have displaced the crisis’s impacts away from its origins in a London-centred financial sector.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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