The Recession and Beyond : Local and Regional Responses to the Downturn
Bibliographic record
Abstract
1. The Recession and Beyond: Local and Regional Responses to the Downturn David Bailey and Caroline Chapain Part 1: The Recession and its Local and Regional Impacts in the UK 2. The Spatial Impacts of the Recession Naomi Clayton 3. The Impact of the Recession on Businesses Nigel Berkeley, David Jarvis and Jason Begley 4. The Impacts of the Recession on Workers and Communities Caroline Chapain 5. Impacts of The Recession on Local Authorities Caroline Chapain and Craig Renney Part 2: Local and Regional Responses in Context in England 6. A Framework for Analysing local Authorities' Responses to the Recession Caroline Chapain, David Bailey and Alex Burfitt 7. Local and Regional Responses to Recession in Context: Setting the Scene in the UK David Bailey, Chris Collinge and Andrew Coulson 8. Local Authorities Working in Partnerships: Panacea or False Dawn? Andrew Coulson and Martin Willis 9. Support for Business Nigel Berkeley, David Jarvis and David Bailey 10. Support for Workers and Communities Gill Bentley and Caroline Chapain 11. Fighting Unemployment, Local Authorities, the Third Sector and Value-for-Money in the UK Robert Dalziel 12. Withstanding the Cuts: How Local Authorities Continue to Prevent Crime in Times of Recession and Government Cuts Eileen Dunstan 13. The Importance of Place Heike Doering Part 3: Local and Regional Responses: International Perspectives 14. Recession, Recovery and Reinvestment. The Role of Local Economic Leadership in a Global Crisis: The Barcelona Principles in Practice Greg Clark and Joe Huxley 15. A French Region in Crisis: The Response of Local Authorities to the Recession in the Region Midi-Pyrenees in France Denis Eckert, Fabrice Escaffre and Josselin Tallec 16. Impact of the Global Economic Downturn on Municipalities in Canada Eric Champagne 17. Local Government and Economic Shock Within a Federal System: The Australian Case Andrew Beer
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".