MétaCan
Menu
Back to cohort
Record W2740033585 · doi:10.2495/sdp-v12-n8-1247-1259

Multi-layered design strategies to adopt smart districts as urban regeneration enablers

2017· article· en· W2740033585 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2017
Typearticle
Languageen
FieldEngineering
TopicSmart Cities and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRegeneration (biology)Urban regenerationEnvironmental planningBusinessArchitectural engineeringEnvironmental resource managementEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Smart City emerged as a reference concept to shape the city of the future, mainly by strengthening the connections between grids, Information and Communication Technology (ICT) tools, governance and people. 'Smart' refers to the potential benefit that is derived by adopting ICT to face the increasing complexity of city growth, which involves multiple urban scales, a number of different players and a variety of regulatory frameworks, as shown by several experiences worldwide in the past few decades. Compared to the potential that is expected to be fuelled by hyper-connected devices in delivering an efficient and optimized configuration of the urban eco-system, the architecture of the city seems to have been relegated to the background. Facilitating an integrated management of the urban dynamics on both a large and a small scale is a key challenge. This means that the cross-related effects of decisions and behaviours must be identified, mapped and analysed considering their relations, reciprocal influences and conflicts. Although an effective ICT infrastructure should facilitate this purpose, the number of variables to consider is enormous, due to both top-down and bottom-up strains, which can act simultaneously on a large palette of fields, with multiple and combined issues as well. In order to design a model on which a tool for management can be built, a simplified scale of analysis is needed: the 'district' seems to represent an acceptable intermediate portion of the whole city where local and global phenomena can be observed from a perspective of their interferences and potential synergies. It often also corresponds to an administrative entity as well as to a structured place recognized by citizens and inhabitants. This article reports on a study conducted in the city of Bologna by a team of researchers of the University of Bologna -Department of Architecture. The study aimed at supporting the municipality in defining effective strategies to implement the Smart City Vision by a set of coordinated actions of regeneration at district level. The research aimed at coupling holistic design principles and the typical ICT platform architecture into an inter-operable tool that could enable the management of the key features of a district in separate layers, supplemented by different data sets. A significant part of the research has been devoted to identifying the variables involved and defining the methodology to process them, according to the most up-to-date shared definitions and indicators.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.259
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it