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Record W2762724400 · doi:10.3366/anh.2017.0445

The contribution of Henry Charles Williamson (1871–1949) to Scottish and Canadian fisheries research

2017· article· en· W2762724400 on OpenAlexaboutno aff
P. G. Moore

Bibliographic record

VenueArchives of Natural History · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Biodiversity
Canadian institutionsnot available
Fundersnot available
KeywordsHerringFish <Actinopterygii>FisherySettlement (finance)Biology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.574

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0050.005
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.022
GPT teacher head0.236
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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