Bibliographic record
Abstract
В многожанровом творчестве известного живописца конца XIX ‒ первой четверти ХХ века Амаяка Акопяна (1871–1939), внесшего неоценимый вклад в развитие армянского реалистического портретного жанра, особое место занимают мужские портреты (живопись и графика). Его портреты отражают как человеческие типажи, так и эпоху, в которой он жил и создавал свои полотна. Персонажами портретов являются люди разных национальностей и культур. Это психологические портреты, раскрывающие пласты человеческой души. In the multi-genre art of the famous painter of the late 19th and the first quarter of the 20th century, Hmayak Hakobyan (1871–1939), who made an invaluable contribution to the development of the Armenian realistic portrait genre, male portraits (painting and graphics) occupy a special place. His portraits reflect both human types and the era in which he lived and created his canvases. The characters of the portraits are people of different nationalities and cultures. These psychological portraits reveal the layers of the human soul.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.007 |
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".