Heterogenost dijaspore — ključan čimbenik pri osmišljavanju i provedbi politike prema Hrvatima izvan Republike Hrvatske
Bibliographic record
Abstract
The goal of this paper is to discuss the heterogeneity of Croatian Diaspora based on a number of factors which could be used to potentially formulate and implement the politics directed toward Croats outside the Republic of Croatia. The paper is based on an analysis of 28 interviews and 11 focus groups, which altogether included 87 members of Croatian diaspora communities and repatriates and immigrants in Croatia. They provided us with a deeper insight into the current state of Croatian communities in the US, Canada, Argentina, Chile, Venezuela, Paraguay, Germany, Austria, Switzerland, Denmark, Norway, Sweden and Australia. From these perspectives, we have analyzed the main provisions of the Act on the Relations of the Republic of Croatia with the Croats Abroad, which is the main legislative act in terms of providing a framework for the diaspora politics of Croatia.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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; a candidate call from one teacher head, not a consensus.
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".