Establishing the Cultural Quarter: Cultural Regeneration through Art and Architecture
Bibliographic record
Abstract
Abstract \n\nThe focus of my PhD is to examine the role of cultural regeneration through arts and architecture using Tate Modern as the principal case study. My analysis questions the role of culture in acting as an urban regeneration tool in north Southwark and in London more widely and how cultural output connects with those who influence the urban environment of Tate Modern.\n\nI begin by examining the ways in which the establishment of Tate Modern as an internationally acclaimed gallery of art has influenced the cultural regeneration of Bankside and London more broadly. I discuss local planning policy in which the former Power Station was situated, in order to understand the impact of the subsequent gallery of art socially and economically. I then discuss the wider ramifications of the establishment of Tate Modern by examining the recent history of developments around Tate Modern, in relation to the changing urban environment, as well as the jostling for urban ‘imaginaries’ that potentially prioritises one direction of urban growth over another. \n\nIn discussing how the regeneration affected the social conditions and concepts of community I consider how the institution adopted and implemented a strategy of inclusion towards the local community prior to its opening in 2000. Through my research I embedded myself within key grass roots organisations working directly or alongside Tate Modern (Better Bankside and Bankside Open Space Trust) and the local community in order to gain close access and observation of and into the field. \n\nKey to this project is identifying how the public interact with the gallery, and the ability of the building to act as a key urban element by knitting the hitherto underused North Southwark site into the surrounding urban fabric, whilst at the same time enabling key connections through and across the site. The focus of my research narrows from a micro to the macro-analysis in which, central to resolving the debate about the unique urban potential of the site and the building and institution’s ability to extend a definition of public within the urban environment, I focus on the spatial condition of the Turbine Hall. My analysis of the Turbine Hall as a public space, mediated through a major arts institution, enables me to arrive at a definition of public, which transgresses the urban and art sphere. This research is supported by an architectural theoretical analysis combined with art theory, and examines primary research material made up of photographic images posted on the social networking site Flickr as well as my own photographic images of the area
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".