Bibliographic record
Abstract
KOLOKACIJE U NASTAVI INOJEZIČNOGA HRVATSKOG SAŽETAKSuvremena nastava inojezičnoga hrvatskog usredotočena je uglavnom na komunikacijski pristup u poučavanju.U samo središte nastavnoga procesa postavlja studente i njihove potrebe.Leksički pristup pritom je težište nastavnoga procesa jer se učenje jezika pomiče s tradicionalnoga shvaćanja jezika kao skupa gramatičkih pravila prema postavci da se jezik sastoji od leksičkih sklopova ili višečlanih jezičnih jedinica koje se mogu usvajati kao jedna riječ.Među takve leksičke sklopove ubrajaju se te važno mjesto zauzimaju i kolokacije.U nastavi inohrvatskoga jezika važno ih je znati prepoznati i iskoristiti njihov potencijal u razvijanju svih komunikacijskih kompetencija.U radu se definira kolokacija kao važna leksička jedinica u učenju stranoga jezika, a kroz ekscerpirani popis kolokacija iz suvremenih udžbenika inojezičnoga hrvatskog objašnjava se najčešći strukturalni tip kolokacijskih sveza u hrvatskom kao drugom, stranom, inom ili nasljednom jeziku.Ključne riječi:
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".