Perspektive razvoja agroturizma u Međimurju
Bibliographic record
Abstract
U radu su analizirane perspektive razvoja koje ima Međimurska županija na području agroturizma posebno u vrijeme globalizacije kada dolazi do mijenjanja svijesti i stila života u društvu što uzrokuje promjene u potrebama i željama potrošača. Promjene su prepoznate kao i njihov utjecaj na turizam te ih smatramo važnom karikom u razvoju agroturizma. Uz ekonomski osvrt on predstavlja i određeni stav, određenu životnu filozofiju pojedinca koju on, promišljanjem o zdravijem načinu prehrane, tjelovježbom, boravkom na svježem zraku okružen netaknutom prirodom, asimilira kroz boravak na agroturističkim gospodarstvima. U Međimurskoj županiji postoji kontinuirano praćenje i poticanje razvoja sadržaja koji su postojeći na području županije ali isto tako i gradnjom novih koji će se na najbolji način uklopiti u priču o Međimurju kao agroturističkoj destinaciji. U radu se analizom stanja pokušao dati uvid u potencijal koji čine obiteljska seoska gospodarstva, ljepote prirode i očuvana kulturna baština. Međimurje predstavlja destinaciju koja promiče razvoj održivog agroturizma. Perspektive za razvoj agroturizma postoje i u njezi kulturne baštine kroz stare zanate i običaje, tradicionalne manifestacije i festivale, očuvanjem tradicionalnih kuće za odmor i ruralnih kapaciteta, te dobrom enogastronomskom ponudom. To otvara velike mogućnosti razvoju potencijala agroturizma u Međimurju.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".