Fuzzy-cluster-analysis based evaluation of regional tourism resources and development countermeasures——A case study on Pingliang city
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
The scientific appraises of tourism resources is the important basis for optimizing and rational development-plan of regional tourism resources.Taking Pingliang city of Gansu Province as example,using fuzzy cluster meghod and relevant knowledge,adoption quantity of all monomer,monomer density,type abundances,reserves abundances,average level and quantity of the best monomer quality as indexes,tourism resources of seven counties in Pingliang city were analyzed.The results indicated resources condition of Kongtong area stood highly at the first place.That in Jingchuan County,Chongxin County,Huating County,Zhuanglang County developed well.That in Lingtai county,Jingning county lagged comparatively.The conclusion was comparatively objective,perfecting the area cognition of regional tourism resources.Based on that some development strategies about exploiting tourist resources of Pingliang city were put forward so as to offer some scientific evidences for the rational exploitation of tourist resources and thereby promote the tourism industry sustainable development.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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