Membangun Positive Brand Image dari Koperasi Sugih Makmur
Bibliographic record
Abstract
As a plenary citizen, the development of humanity is an obligation to every human being. To accomplish our duty to serve the community in the region of Cianjur especially Ciputri Village Sarongge, we as writer did a “live in” program for a month from the 17th of January till the 14th of February 2019. This article is composed to report the potential, problems, and progress of our partner’s business during this year’s community development program. As Builder 023, we were assigned to help develop our partner’s existing business “Koperasi Sugih Makmur” in terms of finance, marketing, and human resource management to minimalize human error risks in the future such as bad cash flow. We also saw an opportunity for another potential business line, henceforth we decided to develop strawberry jam as a new line of product. Existed since 28th February 2019, this new line of product has already gained impro
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads 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".