Bibliographic record
Abstract
Today, the E. C. Smith Herbarium contains over 200,000 specimens, including vascular plants, bryophytes, and fungi. It is the largest herbarium in Atlantic Canada and the first Canadian herbarium to have a digital database with scanned images of the collection. The Acadia Herbarium began as an initial gift to Dr. H. G. Perry of a small collection made by G. U. Hay of St. John, New Brunswick. Included in this collection were a few plants collected by J. Fowler of New Brunswick before he went to Queen's University. These first specimens were collected between 1868 and 1880. Some of the plants were cultivated and some were from the United States. Subsequently, in these early years, the additions were made chiefly through the work of Dr. H. G. Perry and his students. No records were available until the collection numbered some 6,000 sheets. Included in the 6,000, however, are a number of sheets from the Gray Herbarium Expeditions to Nova Scotia in 1920 and 1921. Of the specimens above the 6000 count, the majority have been added by the work of Dr. M. V. Roscoe and her students from 1928-1940 and Dr. H. P. Banks and his students from 1940-1946. In 1946 a large collection was being assembled by Mr. David Erskine, who catalogued the Flora of Wolfville and vicinity. During Dr. E. C. Smith's tenure at Acadia (1947-1971) the number of specimens grew from 20,000 sheets to over 70,000. In 1970, Acadia University's Board of Governors announced that the department's excellent collection of plants would be named the E. C. Smith Herbarium as tribute to him for his contributions to the collection.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.435 | 0.276 |
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".