Borders and constructivist regional geographies: Cross-border cooperation addressing challenges to alternative cohesion policies
Bibliographic record
Abstract
MTA establishes and maintains research institutes in the fields of the natural and social sciences.It also operates such other institutions of learning as libraries, archives, systems of information, etc. as well as it subsidises research groups operating at universities and public collections.Currently, there are 47 research institutes (including 10 Research Centres) run by MTA. MOMENTUM PROGRAMThe objective of the Momentum Program is a dynamic renewal of the research teams of the Academy and participating universities via attracting outstanding young researchers back to Hungary.The impact and success of this application model is highly acclaimed and recognised even by the international scientific community.Initiated by former MTA President Jzsef Plinks, the Momentum program aims to halt the emigration of young researchers, provides a new supply of talented researchers, extends career possibilities, and increases the competitiveness of MTA's research institutes and participating universities.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| 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; both teacher heads agree on what is shown here.
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".