Bibliographic record
Abstract
One dynamic and central element in China's urban landscape is its retail structure. Yet, little attention has been given to the burgeoning retail sector in the vast literature that relates to China's economic reforms. Using the latest census of commercial activity in Beijing and recent empirical work undertaken in the city, we analyze Beijing's postreform retail structure and economy. Beijing's retail sector has been greatly diversified in both ownership and format. In addition to the emergence of the numerous family-based retailers, private and joint-stock companies now represent a significant part of the retail enterprises—a strong trend towards a market-oriented economy. The presence of many overseas-invested enterprises shows that the Beijing consumer market has been effectively opened to foreign competition and that the Beijing government has a strong desire to continue this trend. The high concentration of retail facilities in Beijing proper is closely related to the urban form. The relative concentration of full-line department stores within the third ring road suggests that new entrants will be better off if they stay away from the inner city and take peripheral locations outside the third, or even the fourth, ring road, in conjunction with development of the newly planned suburban communities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".