ELEMENTI EKOLOŠKOG VASPITANJA I OBRAZOVANJA KOJI UTIČU NA RAZVOJ EKOLOŠKE SVIJESTI DJECE PREDŠKOLSKOG UZRASTA
Bibliographic record
Abstract
Nauka, obrazovanje i praktična aktivnost utiču na formiranje ekološke svijesti današnjeg čovjeka. Najvažnijim faktorma koji utiču na ekološko vaspitanje i obrazovanje smatraju se porodica, okolina, predškolska ustanova, škola, vršnjaci, mediji i drugo. Neophodan nivo ekološke svijesti formira se edukacijom mladih od najranijeg uzrasta. U procesu vaspitanja i obrazovanja razvija se ekološka svijest kod djece i omladine, a škola je najvažniji faktor obrazovanja. Da bi se moglo pravilno odnositi prema životnoj sredini treba postaviti cilj ekološkog vaspitanja i obrazovanja, da sama ličnost dosegne ekološku vaspitanost neophodnu sredini. Znači, moramo pronaći što bolje nastavne planove i programe, udžbenike, edukovati predavače i nastavnike, sprovoditi vannastavne aktivnosti, odnosno, prilagoditi, poboljšati i unaprijediti cio ambijent škole u cilju razvoja ekološkog vaspitanja i ekološke svijesti od najranijeg uzrasta. Ključne riječi: ekološko obrazovanje, škola, vaspitanje, ekološka svijest.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".