Bibliographic record
Abstract
The aim of this study is to investigate the possibility of the application of "the balanced scorecard technique" in measuring the function of the nutritional companies of the country.The balanced scorecard is one of the techniques of the accounting of management.It was presented by Robert Kaplan and David Norton for the first time in 1992.The balanced scorecard has been organized based on four various views that are as follows: Financial, customer, internal processes, learning and growth.In this study, four views which are concerned with the balanced scorecard entitled the financial frameworks, customer, interorganizational processes and learning and growth have been investigated in the form of a main hypothesis and four subordinate ones.The results showed that index making in the four views makes the balanced scorecard possible in the nutritional companies of the country.However, the prerequisites and necessary thoughts for performing these techniques in the companies of nutritional industries of the country haven't been well created.Investigating more, it became obvious that the internal process, financial, learning and growth views have been respectively considered as later ranks.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.926 | 0.936 |
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".