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Large-Scale Urban Parks on Post-Industrial Sites in Contemporary Urban Landscape Conceptions

2023· book· en· W4386462380 on OpenAlexaboutno aff
Mengyixin Li

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicSustainable Urban and Rural Development
Canadian institutionsnot available
Fundersnot available
KeywordsUrban landscapeScale (ratio)GeographyEnvironmental planningEnvironmental resource managementCartographyEnvironmental science

Abstract

fetched live from OpenAlex

The theme is related to Large Parks on Post-industrial Sites in Contemporary Urban Landscape Conceptions, which is expounded in the fields of landscape architecture, landscape ecology and urban planning. A worldwide perspective is created so as to conduct cross-cultural research on the theories and practices of large-scale urban parks in North America, Germany and China. Through the scientific approach of critical rationalism, three design paradigms of large parks in different conceptions of contemporary urban landscapes are formulated based on quantitative and qualitative analysis, which are classified as the organic parks of North American landscape urbanism, the structural parks of German landscape structuralism and the large parks of Chinese urban inventory renewal. By means of critical thinking in diverse cultural interpretations, the research aims to reveal remarkable similarities and differences between the cultures in the Western world according to their understanding of landscapes (coherent vs. creative), landscape and ecology (representation vs. metaphor), and landscape and life (diversity vs. unpredictability). Through theoretical analysis and case studies, it demonstrates that the international park paradigms characterised by complexity, diversity, sustainability, appropriation and identity can influence various socio-cultural, ecological, and aesthetic developments. Finally, the analytical results of the two park paradigms in Western countries are adopted in the examination of landscape architectural park models and urbanistic theoretical frameworks in China.This monograph is written primarily for scholars, professionals and students in the fields of landscape architecture, urban planning and architecture. The book, involving in-depth analysis about urban parks, green open spaces, green infrastructure and post-industrial landscapes, will have international appeal. It will appeal to readers at different levels. Above all, it may be of interest to professionals who are concerned with the topics urban parks and post-industrial landscapes, as well as Chinese scholars and experts, particularly those looking at Chinas urban renewal and the ongoing transformation of post-industrial sites at different scales. This book will have strong implications for relevant urban landscape practices in China. Furthermore, it will be supported by the authors colleagues from various countries such as Germany, Italy, USA, Canada, Brazil and China. Moreover, students to whom the author teaches courses of Landscape Architecture History and Theory and Landscape Planning and Design at BUCEA, as well as the international students at Collaborative Classes organized by BUCEA, TUM, and POLIMI (Politecnico di Milano, Italy), are encouraged to read this book.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.006
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.289
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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