Bibliographic record
Abstract
This article illustrates history and evolution of hero turbine. In 1830s, William Avery, a mechanic, designed and built a Hero turbine that could manage significant, useful work. It powered several gristmills and sawmills in New York State, and even drove a locomotive. Ambrose Foster and William Avery were granted a patent on September 28, 1831 for their improvement in the Steam Engine, commonly called the Reacting Engine. The Avery engine probably had other problems such as noise, vibration, the difficulty in sealing the rotary coupling, and the problem of speed regulation. These problems would have been difficult to solve with 1830s technology. Although one is said to have driven a mill for 20 years, the Avery engine probably had problems that were too difficult to solve in the 1830s. The only memorial to William Avery around Syracuse is a New York State historical marker on Route 92 near his family’s farm in Oran. It claims that the steamboat he built and launched there in 1823 became the first on the Erie Canal. Avery also built the machinery for the first steamboat on Lake Ontario, as well as for several other lake steamers.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.108 | 0.042 |
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".