Bibliographic record
Abstract
On the basis of the general framework of United Nations’ “indirect/satellite” accounting system──integrated system of environment & economy accounting SEEA (1992 /2000/2003) (UN,1992/2000/2003) and 93’SNA (UN,1993), the specific objectives of this paper is try to construct one simple, effective and practical integrated system of environment & economy accounting of China (CSEEA), and thereby trial estimate of the 1992/1995 Chinese environmental adjusted GDP (Green GDP) is given, under Chinese National Accounting System’s reform practice. Key words: SEEA, integrated system of environment & economy accounting of China, Green GDP, SNA Resume: Sur la base du cadre general du systeme de comptabilite « indirect/satellite » des Nations Unies-systeme integre de comptabilite environnementale et economique SEEA (1992 /2000/2003) (UN,1992/2000/2003) et 93’SNA (UN,1993), l’objectif de l’article present consiste a construire un systeme integre de comptabilite environnementale et economique de Chine (CSEEA) simple, efficace et pratique. Ainsi, l’estimation du PIB vert de Chine 1992/1995 est donne, sous la reforme du Systeme de Comptabilite national de Chine. Mots-Cles: SEEA, systeme integre de comptabilite environnementale et economique de Chine, PIB, SNA
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.000 | 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".