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Record W2918692882 · doi:10.7202/1056314ar

Collecting with “botanical friends”: Four Women in Colonial Quebec and Newfoundland

2019· article· en· W2918692882 on OpenAlexvenueaboutno aff
Ann B. Shteir, Jacques Cayouette

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismEliteFlora (microbiology)BogHistoryEthnologyGenealogyArchaeologyPolitical scienceLawPoliticsBiologyPeat

Abstract

fetched live from OpenAlex

Four women from the British colonial elite in Quebec and Newfoundland were among the more than 120 contributors to William Jackson Hooker’s Flora Boreali-Americana (1829-40), an imperial project to assemble information about plants from across British North America. Letters that Christian Ramsay (Lady Dalhousie), Anne Mary Perceval, Harriet Sheppard, and Mary Brenton wrote to Hooker during the 1820s and 1830s show their interest in collecting Canadian plants — native orchids, ferns, weeds, bog plants — as well as their zeal for sharing knowledge and communicating their findings among friends and across borders. Along with other archival materials now available, the letters are a record of work by women in botanical discovery. By making visible the friendships, networks, and social and cultural practices that brought the women into Hooker’s project, the letters enlarge and enrich the history of science in Canada.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.887
Threshold uncertainty score0.634

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.1130.022
Scholarly communication0.0080.003
Open science0.0040.007
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.013
GPT teacher head0.196
Teacher spread0.183 · 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

Citations8
Published2019
Admission routes2
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