The impact of heritage investment on public attitudes to place: evidence from the Townscape Heritage Initiative (THI)
Bibliographic record
Abstract
This paper is concerned with public perceptions and attitudes to heritage townscapes, and how these might be influenced by investment in such places, focused on their public realm, and building restoration and improvement as a catalyst for urban regeneration. It draws on a ten-year study of the impact of the Townscape Heritage Initiative, funded by the Heritage Lottery Fund, on a sample of 16 cases across the UK. By comparing an analysis of changes in townscape quality over this period, with changes in public perceptions (captured through the use of a household survey in all 16 cases at three points in the ten-year period), it draws empirically grounded conclusions about the influence of heritage investment on attitudes and perceptions to the quality of the local environment. The findings from the research suggests that public attitudes are positively influenced by programmes of investment in the built heritage, but that this influence is complex and is not as robust as the physical regeneration itself. The paper also reflects on the relative influence of the post-2008 economic recession on public attitudes to place compared with the influence of heritage investment.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".