Jezik boli – između epistemološke asimetrije i biološki zadane društvenosti
Bibliographic record
Abstract
Kako je bol fenomenološki dostupna tek nositelju iskustva, što predstavlja prepreku objektivne kategorizacije u jezičnome mediju, želeći je učiniti dostupnom za sugovornika, pacijenti opisuju bol detaljnim i elaboriranim metaforičkim scenarijima, najčešće onima koji se odnose na neki oblik oštećivanja tijela – osiguravajući takvim utjelovljenim metonimijskim i metaforičkim profiliranjima adekvatnu imaginativnu simulaciju subjektivna iskustva za primatelja, neophodnu za razvijanje empatije. Rad donosi pregled filozofijskih razmišljanja o fenomenologiji boli, kao i pregled suvremenih neuroznanstvenih istraživanja o snažnoj biološki utemeljenoj društvenoj dimenziji boli, a onda i rezultate kognitivno-lingvističke analize vokabulara boli na korpusima pridjevskih deskriptora iz upitnika za procjenu boli McGill, te autentičnih dijaloga između liječnika i pacijenta.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.010 |
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".