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Record W3088077637 · doi:10.7202/1071262ar

Reception of Darwinism in mid-to late Nineteenth-Century Nova Scotia

2020· article· en· W3088077637 on OpenAlexafffundvenueabout
Andrew Reynolds, Christie MacNeil, Mitchell Jabalee

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsCanadian Historical Association
FundersCape Breton University
KeywordsNova scotiaDarwinismDarwin (ADL)HumanityNatural historyCharles darwinNatural scienceNatural (archaeology)HistoryEnvironmental ethicsClassicsGenealogyEpistemologyPhilosophyEthnologyArchaeologyEcologyTheologyBiologyEngineering

Abstract

fetched live from OpenAlex

Reaction to Darwin’s theory of evolution within the natural history community of nineteenth-century Nova Scotia focused on his use of hypothesis to account for a diversity of facts about the origin of species. Critics here, as elsewhere, faulted Darwin’s reasoning for straying from proper Baconian inductive method. Those locally engaged in natural history were inclined to stick closely to a descriptive inventory of the colony’s (after 1867, the province’s) natural resources. More fundamentally, Darwin’s approach challenged the mission of natural theology to support a providential reading of the natural world and humanity’s place within it. A review of publications in the Proceedings and Transactions of the Nova Scotian Institute for Natural Science and a private-diary account of a discussion emerging from a Mechanics Institute lecture during the 1860s and ‘70s reveals how members reacted critically to Darwin’s science while insisting on the compatibility of science and religion.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.216
Teacher spread0.188 · 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 designQualitative
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

Citations2
Published2020
Admission routes4
Has abstractyes

Explore more

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