ASSESSMENT OF CHANGES IN THE TURNOVER OF LITHUANIAN RETAIL TRADE ENTERPRISES IN 2001–2008
Bibliographic record
Abstract
The paper presents an analysis of the methodological side of assessing the turnover of Lithuanian retail trade enterprises, i.e. the indicators to be employed in assessing changes in the volume and composition of the turnover over a longer term, their relationship with other national economic indicators, as well as their theoretical and practical significance. The analysis of changes in the volume and composition of the turnover of Lithuanian retail enterprises in 2000–2008 has revealed its positive and negative trends and the factors influencing these changes. The period under consideration is remarkable in that the years 2000–2001 marked the recovery of the Lithuanian economy after the financial crisis in Russia, its growth until the third quarter of 2008 and the beginning of its decline. The paper summarizes trends in and problems of changes in the volume and composition of the turnover of the country’s retail trade enterprises in the period under consideration and shows the possibilities for its development.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".