Inward Border: The Multiscalar Production of Borders Amid the COVID-19 Epidemic Prevention and Control on China’s Southwest Border
Bibliographic record
Abstract
Border studies conducted so far have always focused on areas close to or outside the border of a country and rarely on the dynamic process of its inward border. The inward border represents the construction or deconstruction of a country’s internal borders by different agents at different scales. As the city with the highest population mobility on China’s southeast border, Ruili was considered for analyzing China’s inward border amid its border epidemic containment. The analysis revealed that the production of Ruili’s inward border demonstrated distinct multiscalar characteristics. First, an isolated zone was formed owing to the enhanced materialization of Ruili’s border and the interruption in Ruili’s normal contact with the outside world; a contact zone was also created owing to the support provided by the central government to Ruili. Second, border residents’ participation broke the dominance of border authorities in border control. Therefore, Ruili’s border became more resilient with the stable coexistence of isolation and contact.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".