Bibliographic record
Abstract
Ijtimoiy-madaniy hayot silsilalarida avvalo, eng katta janriy-kompozitsion yaxlitlik zamzamalari ma’rifatparvarlik davri ijodkorlari asarlarida bo‘y ko‘rsatib, keyinchalik qat’iy tamoyillarda yanada sayqallana boshladi. Individual xarakterdan ibtidolangan va so‘ngra umumkayfiyatga tutashuvi hajvnavislikning falsafiy-estetik mezonlarini yangilashga zamin hozirladi. Kuchli tanqidiy-psixologik kayfiyat hajviy asarlarning takomillashuviga evrila boshlandi. Bu aynanlik adabiy yo‘nalishlarda yangi-yangi janrlarning paydo bo‘lishiga olib keldi. Shuningdek, insoniy munosabatlarning tig‘izlashuvi, dard va og‘irqlarni yengib o‘tishga yo‘l ochish hajvnavislikning oldida turgan asosiy masalalardan bo’lib, kulgi zamiridagi ziddiyat orqali davr nafasini teran fahmlashga xizmat qiladi.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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 teacher head, 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".