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From Ecological Thinking and Ecological Culture to Ecological Compensation and Ecological Democracy

2009· article· en· W2136806488 on OpenAlexvenueno aff
Gao Jian-zhong

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsEcological civilizationEcologyDemocracyRealisationChinaEnvironmental ethicsHumanitiesPoliticsSociologyPolitical sciencePhilosophyLawBiology

Abstract

fetched live from OpenAlex

Ecology has become a new thinking approach to constantly influence social development. Ecological civilization has been raised to the top political philosophy. Ecological democracy should be a system to ensure to implement ecological civilization. The essence of compensation of china’s ecosystem service is to practicing ecological democracy. This paper analyzes the corelation of ecological thinking, ecological civilization and ecological democracy. Key words: ecological thinking; ecological civilization;ecological democracy Resume: La ecologie a deja transforme en une facon de reflechir, qui penetre dans tout domaine social. Et elle influencera continuellement le developpement social. La culture ecologique est devenue le concept supreme du parti communiste de Chine(PCC). Et il faut la democratie ecologique comme un systeme pour proteger la culture ecologique afin de sa realisation. La pratique de la compensation ecologique moyenne demande a la realisation de la democratie ecologique. Cette memoire commence par le concept ecologique en mise en correlation de l’analyse de la relation parmi la pensee ecologie, la culture ecologique et la democratie ecologique. Mots-Cles: pensee ecologique; culture ecologique; democratie ecologique

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.011
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.028
GPT teacher head0.292
Teacher spread0.265 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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