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Record W2173408446 · doi:10.1017/cbo9781139060660

Studies of Plant Life in Canada

2011· book· en· W2173408446 on OpenAlexaboutno aff
Catherine Parr Strickland Traill, Agnes Fitzgibbon Chamberlin

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPassionSisterSubject (documents)AppealNephew and nieceArtGenealogyHistoryArt historyLiteratureSociologyAnthropologyLawLibrary sciencePolitical sciencePsychology

Abstract

fetched live from OpenAlex

Catharine Parr Traill (1802–99) was a writer, botanist and settler who emigrated from England to Canada with her husband in 1832. Both she and her sister, Susanna Moodie, became well known for their writing on settler life: Traill is also the author of The Backwoods of Canada and The Canadian Settler's Guide. This 1885 publication is the most comprehensive of her botanical works. Plants are grouped together by family and the book is divided into four sections: native flowers, flowering shrubs, forest trees and native ferns. Written to inspire the Canadian public to share her passion for the plant life of their country, the book has an engaging style where anecdotes and literary quotations appear alongside detailed descriptions and classification information. Traill's niece, Agnes Chamberlin, is the book's illustrator. A beautiful example of nineteenth-century popular botany, this book will appeal to anyone interested in the history of the subject.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0250.010
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.048
GPT teacher head0.215
Teacher spread0.167 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2011
Admission routes1
Has abstractyes

Explore more

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