Bibliographic record
Abstract
A little bit about Shaklee products is. Forrest C. Shaklee was a chiropractor and nutritionist based in his native state of Iowa, and later in Oakland, California, he created the first vitamin in the United States labeled "Shaklee Vitalizing Minerals" in 1915. After that, in 1956, Shaklee established the Shaklee Corporation Company with his two sons and intended to manufacture supplements. Shaklee companies choose a multi-level marketing business model to market their products to a large audience. Beginning in 1956, Shaklee began marketing its new products, organic and biodegradable cleaners. In a nutshell, Shaklee Corporation is an American manufacturer and marketing distributor of various levels of natural nutritional supplements, weight management products, beauty products, and household products. With the rapid development of the company, the company based in Pleasanton, California is now able to operate globally in Canada, China, Indonesia, Japan, Malaysia, and Taiwan. Just like other products that use the services of an agent or drop ship to make product sales. This is due to the current developmental pressures where all aspects are mostly through social media. On this FB page, I am one of the dropship that sells Shaklee products. Apart from being active in online selling, but at the same time, I also have my own store called SHAKLEE. It is located in Pekan Semporna Sabah. My sales cover almost all aspects i.e. health vitamins, household, and more. In addition, for product sales, of course, I do a lot of promotions through my official Facebook which is SHAKLEE, and also in my store, Through this FB i often make entries about the products I sell, for example, submitting SHAKLEE benefits, customer testimonials, how to get products my sales, how to contact me. This is one of the strategies to attract customers to SHAKLEE products.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.307 | 0.139 |
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".