NEMIS VA O'ZBEK TILLARIDA OLMOSHLARNING ANAFORIK VA KATAFORIK XUSUSIYATLARI
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Maqolada nemis va o‘zbek tillarida olmoshlar semantikasi, deyksis va anaforik qoidalar,leksik ma’nolari, son va kelishik kategoriyalari hamda shakl va xususiyatlari, gapdagi vazifasi o‘rganilib, taqqoslangan va misollar orqali tahlil qilingan. Biz olmoshlarga e'tibor qaratamiz, chunki nemis tilidagi mavjud so‘zlarning faqat kichik qismini tashkil etishiga qaramay, ular eng ko‘p ishlatiladigan so‘zlar qatoriga kiradi. Bundan tashqari, keng qamrovli tadqiqotlar olmoshlar odamlarning kundalik tajribasida asosiy rol o‘ynashi aniqladi. Olmosh predmetni, uning belgisini anglatmay, balki ularni ko‘rsatish, mavjudligini bildirish uchun xizmat qiladi. Nemis tilida qat’iy grammatik qoidalar mavjud boʻlsa, oʻzbek tilida bunday qoidalar nisbatan sodda va moslashuvchan aniqlandi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 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 it