Measuring Market Structures in the Dairy Market in the Czech Republic
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 the paper is to illustrate the existing measures of measuring market structures and demonstrate the use of these measures for the selected industry. For the analysis was taken the dairy market in the Czech Republic in the year 2012. This market includes four main stages: milk production; processing and pasteurization of milk; wholesale and retail of milk. The outcome of the analysis determines concentration ratios and types of competition at each stage of the dairy market. Calculations are demonstrated under the Czech antitrust law which operates under the Act no. 143/2001 Coll., On Protection of Competition. Calculations presented in the article can be used by antitrust authorities for evaluating types of competition and concentration ratios within a market. Among the main priorities of the calculations performed in the paper is its simplicity that does not require a large collection of data and complex mathematical calculations.
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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 | 0.006 | 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 | 0.001 | 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