The role of internal factors in determining the firm value in Indonesia
Why this work is in the frame
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Bibliographic record
Abstract
There are pros and cons to the internal factors of the firm value. Some internal factors that play a role in firm value are company size, leverage, and profitability. The purpose of this study is to analyze the internal factors that influence the firm value. The research sample is all companies listed on the Indonesia Stock Exchange in 2012-2017. The dependent variable in this study is the firm value, while the independent variables are firm size, leverage, and profitability. The method used is the data panel. The results show that leverage had a negative and significant effect on firm value. In contrast, profitability and company size had a positive but insignificant effect on firm value. The results are in line with the allegation that the larger the company's size, the higher the investor's confidence in the company's ability to provide a return on investment. This evidence is in line with the allegations in the hypothesis that company size has a positive effect on its value.
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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 | 0.001 |
| 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 it