Analyzing the effects of Gross Permanent Investment on commerce business periods
Bibliographic record
Abstract
Investment is regarded as one of the most fluctuating components of total demand in the economy. The purpose of this study is to investigate the influence of the fluctuation in investing on the commerce business periods in the economy of Iran. The data used in this paper are of chronological type related to the period between 19832006. In this study, after de-processing the chronological series of all variables in the target model, using filters in a press-cut, and considering correlation coefficient among variables, the co-relation among them has been analyzed. In the next step, to investigate the effects of Gross Permanent Investment on commerce business periods in the economy of Iran, a model in the frame of simultaneous equations system has been utilized which has been analyzed using the method of 3-stage squares minimum. The results showed the variable of investment has positively effected on the commerce business periods in the economy of Iran, and this is in accordance with the theory of commerce business periods.
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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) | 0.001 | 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".