The Natural History Society of New Brunswick Library: Supporting Geological Science
Bibliographic record
Abstract
The Natural History Society of New Brunswick (1862-1932) based in Saint John, New Brunswick, Canada, produced an impressive body of research, including significant geological discoveries. Research and public education output of the Society was prolific. George Matthew, the Society's leading geologist published more than 200 scientific papers. Between 1862 and 1917 the Bulletin of the Natural History Society of New Brunswick records more than 800 lectures read before the Society and public audiences. Lectures were often at the leading edge of scientific discovery, such as Matthew's 1890 report of the first authentic Precambrian fossil. This amateur society supported the research of its members by developing a significant library. The only other library in the city with scientific resources belonged to the local Mechanics' Institute, later acquired in part by the Natural History Society. It is clear from library reports and minutes that, from the beginning, the intent was to provide members access to a science library necessary to support their research activities. Both libraries were particularly important as the Great Fire of 1877 destroyed personal libraries while the Society and Institute libraries were untouched. The library was particularly strong in North American and British journals and classic works in early geology. Some of the research shortcomings of Society members may have been a result of the library's weakness in European technical literature. The library and collections of the Natural History Society of New Brunswick formed the basis for the present New Brunswick Museum.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.123 | 0.033 |
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".