Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.997 | 0.961 |
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 it