Rebalancing the Social and Economic: Learning Partnership and Place
Bibliographic record
Abstract
This book examines the challenges facing those who make and implement social policy at a time when free-trade economics reign supreme. It draws on linked ideas of social capital and the management of place, and presents international perspectives from a diverse range of countries, to question the domination of the economic and call for a new balance in making policy and measuring what is achieved. Lifelong learning is said to be vital for a ‘knowledge society’ in the ‘new economy’. But looking at knowledge and the economy alone short-changes us, making economic growth not a means to happiness, but an end. The book moves from applied philosophical analysis in Canada, through debate about social capital and ‘the political’ in Australia, to consideration of governance for sustained renewal in Finland. It examines how these concepts apply as guides to action in a leading English local authority, Kent, and considers the role of universities in developing learning regions in South Africa’s Western Cape Province. It concludes with the ‘mother of all challenges’, sustainability, with which economic growth must reach a rapprochement if we are to survive.
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.075 |
| Scholarly communication | 0.024 | 0.028 |
| Open science | 0.002 | 0.031 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".