SZACOWANIE WPŁYWU ZMIAN PRZEPISÓW PRAWA NA LICZBĘ PODMIOTÓW GOSPODARCZYCH. MODEL EKONOMETRYCZNY Z CIĄGŁYMI ZMIENNYMI IMPULSOWYMI
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 article indicates two approaches of modelling changes in number o f economic subjects as \na result of changes in law: \n— issuing from zero-one variables, \n— issuing from constant impulsory variables. \nThe second approach was described quite in detail, and more particularly - one o f its variants \nwhere a number of economic subjects generated in function of a given legal disposition increases \naccordingly to a power. \nY — ^¡^CLzIx + Cta , \nX \nwhere: \n1 _ ÍT01 for i>x \n0 for t < I \nT = (i - X + 1); t - date of entering into force of a legal disposition. \nThis model was illustrated with an example relating to fluctuation o f the number of accountancy \noffices in Bydgoszcz in relation with changed law on economic activities in the period from 1 \nquarter of 1990 to 4th quarter of 1997. The model obtained suits veiy well to empirical data - \ndetermination factor was up to 99,9 per cent.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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