Bibliographic record
Abstract
China’s western development experienced the period of brilliance in Han and Tang Dynasties, the period from prosperity to decline in Song and Yuan Dynasties, and the period into the abyss in Ming and Qing Dynasties. The history of China’s western development witnessed the process of change in politics, economy and culture. The contemporary Western Development of China should draw lessons from experience and take the road of sustainable development. Key words: China, western development, history Resume: Le developpement de l'ouest de la Chine a connu son apogee sous les Dynasties des Han et des Tang, son tournant sous les Dynasties des Song et des Yuan et un repli total sous les Dyansties des Ming et des Qing. L'histoire du developpement de l'Ouest est le temoin des evolutions politiques et economiques de la Chine. L'actuelle politique du developpement de l'Ouest doit en tirer une lecon et poursuivre le chemin de developpement durable. Mots-cles: Chine, developpement de l'ouest de la Chine, histoire 摘要:中國西部開發的歷史經歷了漢唐時期的輝煌、宋元時期的由盛而衰直至明清民國時期走入低谷。中國西部開發的歷史見證了中國政治經濟文化的變遷過程。當代中國西部大開發應吸收經驗教訓,走可持續發展道路。 關鍵詞:中國;西部開發;歷史
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".