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Record W7145395898

The Framework of Social Sustainability for Chinese Communities: Revelation from Western Experiences

2014· article· en· W7145395898 on OpenAlexaboutno aff
Wang Yu

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative and Sustainable Housing Initiatives
Canadian institutionsnot available
Fundersnot available
KeywordsSocial sustainabilitySustainabilityProcess (computing)ChinaSocial changeSustainability organizationsSustainable development
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to explore the framework of community social sustainability for China. The paper gives a brief introduction to the concept of social sustainability and its core inclusions in literatures at the beginning. Social sustainability, nevertheless, has not only been tested in theoretical research debates, but also already been practiced and traced in western context. The key ideas and systems are summarized after reviewing and analysing social sustainability concerns in western countries like US, UK and Canada by several case studies. Furthermore, comparing the evolution of this concept in China, a literature-review based analysis also discusses how the westernoriginated social sustainability idea should be understood and redeveloped in the distinctive Chinese context. Following these findings, a new framework of social sustainable communities is summarized that includes three layers: individual needs, social network and community development. The paper finally gives some extended discussions on the current community planning system in China and related issues concerning this topic. It is also proposed that developing detailed indicators under the framework, although is insufficient at the moment, can be a systematic process integrated with the updating of community planning mechanism in future during a public-evolved social planning process, a positive attempt toward social sustainability in practice as well.

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 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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.350
Teacher spread0.331 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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