EVALUATION OF REGIONAL SUSTAINABILITY OF ECOLOGICAL COMSUMPTION BASED ON ECOLOGICAL FOOTPRINT IN HUNAN PROVINCE
Bibliographic record
Abstract
Humans consume the products and services of nature,every one of us has an impact on the earth.Evaluation of ecological sustainability reveals the base line of capacity of regional sustainable development.The issues concerned to this field involve not only to investigate the background of environment,but to understand the behavior modes of society.Canadian ecological economists initiatively bring forward the method of Ecological footprint to assess the sustainability of human consumption by comparing with the ecological carrying capacity.It is a useful indicator for measuring the pressure imposed by human on nature capital and also a powerful indicator for regional sustainability.This article describes the method and use for reference to estimate the ecological carrying capacity and the total ecological consumption of Hunan Province.Based on the ecological footprint method,the reasult show that the per capita deficit of ecological footprint was 1.2082 per capita in 2004,and the development at present is disadvantageous for achieving sustainable development.In the end,the author put forward some suggests for promote regional sustainability and relative policies goal,so as to realize the aim of regional sustainability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".