Preserving, reconstructing and enhancing the place identity: identifying principles of urban sustainability with placemaker method
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The changes that are occurring as a result of mutations in interpersonal and intergenerational relationships, globalisation and new technologies have led to phenomena of homogenisation of territorial specifi cities, but by the same token have also prompted further discussion concerning the importance of identity of place. Present-day urban conditions appear rich in differentiation with regard to the times and ways in which the city is used, for the new typologies of spaces and the change in the modalities of use of those already existing. In order to identify, represent and design the complex transformations in the contemporary city transversal and multi-level methods of analysis and design are being elaborated and experimented capable of representing and making leg-ible the urban complexity that confronts us today. Starting from these premises, the aim of this paper is to illustrate PlaceMaker method of urban analysis and design, whose fl exibility, as is apparent in the three emblematic case studies which will be illustrated, enables it to be used in widely varying contexts and for a range of objectives. In particular, the experiments were carried out in order to identify the current place identity to be preserved, reconstructed and enhanced. The investigation protocol serves as a guide to be adapted and reinforced at some points, according to the characteristics of the place and the intended purposes. The case studies gave rise to 12 principles for place identity enhancement, created from a reasoned set of blueprints for the various experiments carried out using the original PlaceMaker method which conclude the paper.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it