Theoretical Foundation and Disciplinary Construction of Chinese Historical Financial Geography: A Case Study of Financial Geography in Sichuan- Chongqing Region During the Late Qing and the Republic of China Era
Bibliographic record
Abstract
As a branch of economic geography, the theoretical origins of financial geography are multiple, which increasingly shows the vitality and advantages of interdiscipline. As an important component of economic geography, the research contents and measures of China’s historical economic geography have been continuously expanding in recent years with the development of times, which is a major feature of rising discipline. During its development process, China’s economic geography has been subject to many influences including the former Soviet Union and other Western economic geographical ideas, it is possible and also necessary to critically use the still growing Western economic geographical ideas for reference in China’s economic geographical research, scope of such research should include regional finance of historical periods, in this sense, the research of financial geography in Sichuan-Chongqing region in modern times, which has relatively strong regional change characteristics and practical reference value, is undoubtedly a valuable research content.
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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 | 0.006 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".