The Influencing Factors Model and Scale Designing of RMB Financing Products' Marketing Segmentation from the Perspective of Niche
Why this work is in the frame
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Bibliographic record
Abstract
First, there is an analysis on the present marketing segmentation of RMB financing products. Then, this paper explores whether the theory of niche has any application on the marketing segmentation of RMB financing products from the perspective of niche. Based on this, the influencing factors model of RMB financing products’ niche is given. After that, the niche selection criteria of RMB financing products’ marketing segmentation is given according to three aspects - needs of customers and behavior characteristics, innovation ability of RMB financing products and competitiveness of banks. At last, the scale of niche selection criteria of RMB financing products’ marketing segmentation is designed which is helpful to the special target market selection of RMB financing products and also provides reference for the exact orientation and dislocation competition of financing enterprises. Key words: Niche; RMB financing products; Market segmentation; Scale designing
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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