PREGLED FUNK CIONALNIH REGIJ PO IZBRANIH DRŽAVAH REVIEW OF FUNCTIONAL REGIONS IN SELECTED COUNTRIES
Bibliographic record
Abstract
V prispevku je podan pregled funkcionalnih regij po izbranih državah. V ta namen smo najprej opisali osnovne koncepte opredelitve in členitve območij držav na funkcionalne regije. Sledi predstavitev funkcionalnih regij v izbranih petnajstih državah Evropske unije, to je v Avstriji, Belgiji, na Češkem, Danskem, Finskem, v Franciji, Italiji, na Madžarskem, v Nemčiji, na Norveškem, Poljskem, Portugalskem, v Španiji, na Švedskem, v Veliki Britaniji, ter dodatno v Švici, Kanadi in Združenih državah Amerike. Na koncu podamo še krajši pregled dosedanjih raziskav, opredeljevanja in razmejevanja funkcionalnih regij v Sloveniji glede na mednarodno primerjalno analizo ; In this article, a review of functional regions by selected countries is presented. For this purpose, the basic concepts of definition and delimitation of functional regions are presented, followed by a presentation of functional regions in the fifteen selected countries in European Union: Austria, Belgium, Czech Republic, Denmark, Finland, France, Italy, Hungary, Germany, Norway, Poland, Portugal, Spain, Sweden, Great Britain, as well as in Switzerland, Canada and United States of America. At the end, a short review of definition and delimitation of functional regions in Slovenia is presented from the international perspective.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.098 | 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".