Membangun PositiveBrand Imagedari Koperasi Sugih Makmur
Bibliographic record
Abstract
As a plenary citizien, 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, weas writer did a “live in” program for amonth from the 17thof January till the 14thof February 2019. This article is composed to report the potential, problems, and progress of our partner’s businessduring this year’s community development program. As Builder023, 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 of another potential business line, henceforth decided to develop strawberryjam as a new line of product. Existed since 28thFebruary 2019, this new line of product has already gained improvements such as packaging, operational standards, and sales channels
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 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 | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.198 | 0.056 |
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".