The contribution of Henry Charles Williamson (1871–1949) to Scottish and Canadian fisheries research
Bibliographic record
Abstract
The Scottish zoologist Henry Charles Williamson was one of a group of young men who initiated fisheries science in the late Victorian age, schooled under Professor William Carmichael McIntosh at St Andrews University. Initially working for the Fishery Board of Scotland, Williamson contributed original studies on fish anatomy, morphology, systematics and life cycles; decapod Crustacea life-history stages; fish diseases and parasites. He was at the forefront of attempts to transport herring ova to Australia and New Zealand to introduce this European food fish to antipodean waters. That involved him researching how to retard development of ova using low temperatures and developing glass settlement-plate techniques for their transportation. He left Scotland in 1925 to spend five years in the Canadian Pacific, studying salmon migration by tagging and latterly becoming responsible for pilchard and herring work there too. Returning to his home town of Dundee in retirement, he lived a quiet life, giving talks to local groups, supporting his church's administration and contributing articles to the fishermen's press. Sadly he died before he could complete the two volumes on fishes that he was in the course of writing.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".