ENT 530 Social Media Portfolio : Dhia Cotton / Maisara Mohd Saufie
Bibliographic record
Abstract
Dhia Cotton is a local brand that sells formal apparel for men, women and children. It is actually a widely known local brand for printed cotton baju kurung and it has been operating since 2015. The main boutique is in Alor Setar, Kedah but we are also operating as an online business which is through the website and dropships. Agents and dropships of Dhia Cotton have evolved from time to time and the prices are different for a walk-in and online customer. Regarding the restriction of Movement Control Order (MCO), customers engagement on our website and online platforms increases. Despite the situation, we are still giving our best service. In addition, Dhia Cotton has set a standard for high quality garment fabrics at affordable prices. We prioritize the customers’ needs and interest for remarkably comfortable and beautiful clothing. Our products are grouped into its own specific designs and types of baju kurung such as Baju Kurung Moden, Baju Kurung Kedah, Kebaya and Peplum. Our designs are not entirely intended for a formal event but also for a daily outfit because of its versatile characteristics. Customers are given a variety of options from the simplest to the most complex design and from the smallest to the largest size. Dhia Cotton are always ready for stocks because it is common to receive a great number of orders at a time. Since this pandemic started, this business has been operating online. Therefore, as a dropship member, we are in charge of promoting and advertising our products on social media platforms. In order to gain followers and attract customers, we would identify our own strategy according to the business model canvas. We are looking forward to boosting our product commercials online in the future as well as to improve our engagement with the customers in the fashion and clothing industry and elevate the standard of our products to achieve our target.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.752 | 0.566 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".