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Record W2765309799 · doi:10.7202/1041377ar

Early Canadian Botanical Photography at the Exposition universelle, Paris 1867

2017· article· en· W2765309799 on OpenAlexaffvenueabout
Brendan Cull

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2017
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsCanadian Historical Association
Fundersnot available
KeywordsExposition (narrative)PhotographyStudioNarrativeArt historyVisual artsArtRepresentation (politics)Audience measurementExhibitionHistoryPoliticsLawLiteraturePolitical science

Abstract

fetched live from OpenAlex

Sites et végétaux du Canada was an early photographic experiment in botanical illustration. Presented at the 1867 Paris exposition, the album’s 35 albumen prints were part of the Canadian displays. The photographs were a collaborative effort between Joseph-Charles Taché, Canada’s Executive-Secretary at the exposition; Louis-Ovide Brunet, a Catholic priest and botany professor at the Université Laval; and Livernois & Cie, a Québec City photography studio. Previous work has considered the album as the aesthetic accomplishment of Jules-Isaïe Benoît dit Livernois, excluding Taché and Brunet from the art historical narrative. In this paper, I consider the album’s political and botanical contexts, and viewership, to more clearly situate the album in the visual culture of early Canadian science. In its representation of Canadian landscapes and native-plant specimens, the album effectively employed photography to present Canada as a centre of cutting-edge scientific investigation.

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 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 score0.989
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.003
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.002

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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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

Citations3
Published2017
Admission routes3
Has abstractyes

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Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicAnimal and Plant Science EducationFrench-language works237,207