NEKA ZAPAŽANJA U VEZI S UPITNIM IMENIČKIM ZAMJENICAMA U SASTAVU TURSKIH INFINITNIH IMENSKIH SKUPINA 1
Bibliographic record
Abstract
<p>U radu se analiziraju kontekstualni primjeri u kojima se  upotrebljavaju turske infinitne  imenske skupine  upitnoga  značenja  koje  sadrže  posebna  pitanja  koja  se  oblikuju  pomoću  upitnih  imeničkih zamjenica. Primarni cilj rada jeste analizirati gramatičke i značenjske osobitosti turskih infinitnih imenskih  skupina  koje  u  procesu  nominalizacije  nastaju  preoblikom  upitnih  ishodišnih  rečenica koje  sadrže  posebna  pitanja  koja  se  izvode  pomoću  upitnih  imeničkih  zamjenica.  U  analizi  se primjenjuje  i  kontrastivna  metoda  u  okviru  koje  se  turske  infinitne  imenske  skupine  upitnoga značenja  koje  sadrže  upitne  imeničke  zamjenice  uspoređuju  sa  značenjski  bliskim  sintaksičkim <br />konstrukcijama  u  bosanskome  jeziku.  Jedna  takva  analiza  daje  doprinos  boljem  interpretiranju turskih  infinitnih  imenskih  skupina  koje  sadrže  upitne  imeničke  zamjenice  i  značenjski  bliskih sintaksičkih konstrukcija u bosanskome jeziku. </p>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; both teacher heads agree on what is shown here.
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".