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Record W2746594529 · doi:10.25034/ijcua.2018.3654

Classical Chinese Gardens: Landscapes for Self-Cultivation

2017· article· en· W2746594529 on OpenAlexfundno aff
Donia Zhang

Bibliographic record

VenueJournal of Contemporary Urban Affairs · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
FundersBrock UniversityOxford Brookes University
KeywordsClassical ChineseChinaAestheticsNatural (archaeology)SociologyEnvironmental ethicsSocial scienceArtPhilosophyHistoryLiteratureArchaeology

Abstract

fetched live from OpenAlex

This paper examines the design philosophy of classical Suzhou gardens in China, with regards to their natural and architectural elements on the moral education of the inhabitants. Through studying the metaphorical connotations of garden elements, the author reflects on their propositions for contemporary environmental ethics, aesthetic appreciation, and moral education. As such, the article is structured around three themes: classical Chinese gardens cultivating environmental ethics, classical Chinese gardens cultivating an appreciation of aesthetics, and classical Chinese gardens cultivating moral characters. The essay finally suggests that classical Chinese gardens are landscapes for self-cultivation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.259
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations20
Published2017
Admission routes1
Has abstractyes

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