Customers’ Preference of Palpali Dhaka Garments in Kathmandu Valley Ordered Logistic Model
Bibliographic record
Abstract
Dhaka is a handcrafted cloth with a specific meaning in Nepal. Despite its indigenous value, Producer & Supplier are not aware in promotional activity of the Palpali Dhaka garment is not sufficient. So, there is lack in preference of Palpali Dhaka garment. Therefore, the aim of this study is to analyze the determinant of customer preference of Palpali Dhaka garment in Kathmandu valley. Following exploratory research design was adopted and data was collected using structured questionnaire. Where ordered logistic model was used for inferential analysis, both descriptive and inferential analysis was used. Respondent were sampled from Kathmandu valley. Simple random sampling technique was used for 196 respondents. KOBO toolbox was used for data collection. The study found that the promotion of Palpali Dhaka garment is affected by major determinants. The factors which are significant to customer preference of Palpali Dhaka garment are Brand, Quality, Knowledge source, Family type, Advertising, Reducing Challenges which shape customer preference. Based on the findings of the study, the study concluded that for the better promotion of Palpali Dhaka garment the producer and supplier should improve promotional activity, improve Brand and Quality of Palpali Dhaka.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".