Bibliographic record
Abstract
ABSTRACT The great wave of immigrants to the United States during the late 1800s brought many talented individuals who enriched American culture and society. Notable among them stands the Italian-born artist, Albert L. Operti (1852–1927), a versatile painter, illustrator and sculptor. For much of his professional career, Operti served as a scenic artist for the Metropolitan Opera House and later as an exhibit artist for the American Museum of Natural History. However, he maintained an avid personal interest in polar explorers and the history of polar exploration, ultimately turning his artistic skills to the subject. Operti served as official artist for Robert E. Peary during his Arctic expeditions of 1896 and 1897, producing paintings, drawings and even plaster casts of the Inuit from the expedition. Over the course of his lifetime he painted a number of ‘great’ pictures depicting, in a factually accurate manner, important incidents in Arctic history along with numerous smaller paintings, sketches, illustrations and studies. The quality of his work never rivaled his more talented contemporaries in the field of ‘great’ paintings, such as the prominent artists William Bradford and Frederic Church. Nonetheless, Operti achieved some recognition in his time as a painter of historical Arctic scenes, but the full extent of his contributions are little known and have been largely unexamined. Unlike the explorers themselves whose legacy rests upon geographic or scientific accomplishments and written narratives, Operti's legacy stands upon the body of distinctive artwork that served to convey, in realistic and graphic terms, the hardships and accomplishments of those explorers. This article recounts the life of Operti and his role as an historian in disseminating knowledge of the polar regions and its explorers to the public.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".