Bibliographic record
Abstract
This paper is concerned with regions of cities, or 'City-Regions' and the capacity of culture as a mechanism of social development in the twenty-first century.It focusses on a case study research project 'Yorkshire 21' (Y21), funded by Leeds Beckett University, UK.This interdisciplinary project united academic researchers with local communities to enable small-scale, culture-led community regeneration projects in Yorkshire.It was born out of the university's mission to engage with and contribute to the well-being of the region, and to increase public engagement with academic research by establishing a conversation between scholars and members of the public.Following the exemplar of a series of creative writing community history workshops held as part of the project, the article examines a smallscale study of culture-led regeneration in a specific City-Region of the United Kingdom.Critically exploring community-led regeneration as a strategy based on recovery and valorization of local culture, the article proposes the centrality of community contributions to culture-led regeneration projects in contemporary UK City-Regions.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".