Functional directionality of cities and municipalities in Eastern Croatia
Bibliographic record
Abstract
U radu se analiziraju indikatori i čimbenici koji su uvjetovali regionalno nazadovanje Istočne Hrvatske. Razlike u regionalnoj razvijenosti bitno su odredile smjer i intenzitet prostornog prerazmještaja stanovništva Hrvatske, kao najvećeg i temeljnog čimbenika razvoja određenog prostora. U radu su istražena i analizirana demografska kretanja od 1961.-2011. godine, s posebnim osvrtom na suvremeno razdoblje. Analizirana je depopulacija te njen uzročni utjecaj na biološku i ekonomsku strukturu. Razlike u razvijenosti objašnjene su konceptom kumulativne kauzalnosti. Istraživanje je pokazalo da je razvojno zaostajanje povezano s nepovoljnom ekonomskom strukturom i prostornim razmještajem stanovništva, posebice u područjima bez razvijenog središnjeg naselja. Analizom funkcionalne usmjerenosti gradova i općina dokazano je da Istočna Hrvatska s pravom nosi epitet "problemske regije".
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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 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".