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Record W1985128890 · doi:10.7202/1027023ar

“Attractive to Strangers and Instructive to Students.” The McCullochs’ 19th Century Bird Collection in Dalhousie College

2014· article· en· W1985128890 on OpenAlexaffvenueabout
Eric L. Mills

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsDalhousie UniversityUniversity of King's College
Fundersnot available
KeywordsArtifact (error)Natural historyHistoryOrder (exchange)Library scienceClassicsLawEnvironmental ethicsPolitical sciencePsychologyMedicineComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Thomas McCulloch, Presbyterian minister and educator, founder of Pictou Academy, first President of Dalhousie College 1838-1843, established a museum in Pictou, NS, by 1828, including a bird collection. To McCulloch, the order of the natural world instilled in students principles of a liberal education and a model of society. His first collections were sold, but when McCulloch came to Dalhousie in 1838 he started a new collection, hoping to make it the basis of a provincial museum. In this he was aided by his son Thomas, who had been trained as a taxidermist. The younger McCulloch kept and expanded the collection until his death, after which it passed to Dalhousie College. The current McCulloch Collection, mainly the work of Thomas McCulloch junior, seems to exemplify purposes and practices of 19th century natural history. But research shows that the collection has a hybrid origin and must be viewed with great caution as an historical artifact. This is a case study in the difficulty of interpreting 19th century natural history collections without careful examination of their history.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.006
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0430.007

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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
GenreEmpirical

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

Citations0
Published2014
Admission routes3
Has abstractyes

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Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicHistory of Science and Natural HistoryFrench-language works237,207