Spatial Distribution of Traditional Villages and the Influencing Factors in Hunan Province
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For the reasonable exploitation and protection of traditional villages, this article is based on the spatial analyst tools, analyzing spatial distribution characteristics and influencing factors of the 103 traditional villages in Hunan Province. Research shows that the structural types of traditional villages in Hunan Province were identified agglomerate.The distribution of the traditional villages is comparatively centralized from the cities scale. The traditional villages are concentrated in Western Hunan Tujia Nationalities Autonomous Prefecture, Chenzhou, Yongzhou, Huaihua and Shaoyang. The centralized distribution of the traditional villages in these areas was inequality. The highest concentrations are in Western Hunan Tujia Nationalities Autonomous Prefecture, the next is southern Hunan areas. The factors that affect the distribution of traditional villages are relatively closed regional environment, perilous hills, inconvenient transportation and relatively backward economic which are essential to the traditional villages protection.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it