Study on Revitalizing Northeast China Through a New Road of Industrialization
Bibliographic record
Abstract
The old northeast industrial base has been the cradle of China after Liberation industry and has made the significant contribution to speed up the process of industrialization in China. The 16th National Party Congress definitely put forward the strategy of revitalizing the old industrial bases in Northeast China. Undoubtedly it can bring new lease and vitality for the development of the old industrial bases in Northeast China in the future. To begin with the study of the contents of a new road of industrialization, the article focuses on the necessity of taking a new road of industrialization to revitalize Northeast China and put forward the countermeasures for it according to analyze the current status. Key words: revitalization of Northeast China, new industrialization, resources, countermeasures Resume: L’ancienne base industrielle nord-est a ete le berceau de l’industrie de Chine apres la Liberation et a donne une contribution signifiante a l’acceleration du processus d’industrialisation chinoise. Le 16e Congres national du Parti a mis en avant definitivement la strategie de revitalisation des anciennes bases industrielles dans le Nore-Est de Chine. Sans aucun doute, cette strategie peut amener la vitalite et un nouveau commencement au developpement des ces anciennes bases industrielles dans le futur. Debutant par l’etude du contenu de la nouvelle voie d’industrialisation, le present article se focalise sur la necessite de prendre une nouvelle voie d’industrialisation pour redresser le Nord-Est de Chine et propose des contre-mesures correspondantes en vertu de la situation actuelle. Mots-Cles: revitalisation du Nort-Est de Chine, nouvelle industrialisation, ressources, contre-mesures
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".