Bibliographic record
Abstract
Roditeljske odluke o kupovini hrane ključne su za razvoj dječjih prehrambenih navika, ali te odluke često ovise o vanjskim utjecajima. Ovaj rad analizira utjecaj različitih čimbenika na roditeljske odluke o kupnji hrane za djecu. Korištena metodologija obuhvatila je analizu dvaju scenarija kupovine te anketno ispitivanje roditeljskih stavova o kupovnim odlukama u svakodnevnim situacijama na uzorku od 60 roditelja. Analiza scenarija pokazuje da roditelji mijenjaju svoje prioritete pri odabiru namirnica ovisno o situaciji i okolnostima. „zdrave“ namirnice kupuju radi zdravlja i odgoja djece, ali visoka cijena smanjuje učestalost kupovine „zdravih“ prehrambenih proizvoda. „Nezdrave“ namirnice kupuju uslijed popuštanja dječjim željama, kako bi smanjili stres i skratili kupovinu. Pokazalo se da cijena hrane utječe na izbor „zdravih“ prehrambenih proizvoda, da djeca imaju bitan utjecaj na izbor slatkiša i grickalica te da roditelji pod stresom češće popuštaju dječjim željama. Rezultati rada mogu koristiti za razvoj učinkovitih politika i strategija usmjerenih na promicanje zdravijih obiteljskih prehrambenih navika.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".