Bibliographic record
Abstract
I n one respect New York was somewhat different from what I remembered it. The gay season had passed. There were no routs, no balls, few parties of any sort; all was gravity and family seclusion. Some families had removed to the country; others were preparing for a trip to Canada or Boston. Still I had the good fortune to encounter many of my former friends, with whom I enjoyed the pleasure of renewing my intercourse. I believe this pleasure, unsuppoited by reasons of greater cogency, made me imagine a fortnight's breathing time to be necessary, between the journey just accomplished, and that which I yet meditated to Niagara and Quebec. Nothing of any consequence, however, occurred during this interval; and as I always found the flight of time to he unusually rapid at New York, the period fixed for departure soon came. On the 30th of May I ran up the Hudson to West Point, about fifty miles from New York, The scenery, now clad in all the verdure of summer, certainly transcended every thing I had ever seen on a scale so extensive. What struck me as chiefly admirable, was the fine proportion of the different features of the landscape. Taken separately, they were not much. Every one has seen finer rocks and loftier mountains, and greater magnificence of forest scenery, but the charm lay in the combination, in that exquisite harmony of detail which produces—if I may so write—a synthetic beauty of the highest order.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.096 | 0.020 |
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 source (direct Gemma or distilled Codex), 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".