Competitiveness Analysis of Furniture Industry Cluster in Guangdong Province Based on GEM Model
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
Furniture industry in Guangdong province plays a key role in Chinese furniture industry.Industry cluster has become an important driving force to the rapid development of furniture industry in Guangdong.Fostering competitiveness of industry cluster is the key point to acquire international competitiveness.Using the framework of Grounding-Enterprises-Markets(GEM) model proposed by Tim Padmore and Hervey Gibson of Canada,this paper analyzes and evaluates the competitiveness of Guangdong province furniture industry from aspects of general and single factor based on investigation.Results show that Guangdong province furniture industry cluster still has a big gap to take the leading place in China.Relevant suggestions are put forward.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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