International R&D cooperation within the EU Framework Programme: empirical evidence for Spanish firms
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
This work aims to explain which factors determine the participation of Spanish companies in R&D consortia within the EU's Framework Programme (FP), considering that the probability that a firm takes part must be regarded as the result of a two-phase process. First, the firm decides whether to apply for an FP cooperation project or not and secondly, the project is approved or rejected. The empirical results confirm that the probability of application depends on some firm-specific variables such as its commercial presence in foreign markets, its absorptive capacity regarding incoming spillovers and its prior experience in FP proposals. With regard to the proposal award, variables related to coordination capability (leader capacity, geographical distance among partners and prior experience in R&D cooperation) are valuable determinants.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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