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
Absorption of the financial resources allocated from the EU funds is a very important aspect of the European integration process, while there is a lack of empirical researches on the determinants of a country/region’s abilities to efficiently absorb the money. This study investigates the influence of the chosen territorial economic preconditions important for successful absorption of EU funds over the last two Cohesion Policy programming periods, on the sample of convergence and developed NUTS 2 regions of the EU. The analysis is based on 86 regions that have GDP per capita less than 75% of the EU average (convergence regions) and 186 regions that have GDP per capita above 75% of the EU average (developed regions). By using panel data analysis, it is confirmed that the absorption of EU funds is conditionally affected by regional economic characteristics. The results of the study contribute to empirical researches on the determinants of regional absorption capacity in the EU and can be important in discussions surrounding Cohesion Policy planning and programming.
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 | 0.003 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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