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Record W1985719455 · doi:10.7202/800397ar

The Most Select and the Most Democratic: A Century of Science in the Royal Society of Canada

2009· article· en· W1985719455 on OpenAlexfundvenueaboutno aff
Trevor H. Levere

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersUniversity of TorontoUniversity of OxfordUniversity of OttawaRoyal Society of CanadaWilfrid Laurier UniversityRoyal SocietyNatural Sciences and Engineering Research Council of CanadaChemical Institute of Canada
KeywordsHonorificPolitical scienceGovernment (linguistics)Public administrationDemocracyFoundation (evidence)PoliticsLaw

Abstract

fetched live from OpenAlex

This paper is a history of the Science Academy of the Royal Society of Canada, from its foundation in 1882 until the early 1990s. The RSC has always had an honorific role, but it has sought a more substantive one in scientific publication (a role that it has largely lost to the National Research Council and to other scientific societies and journals), in educating the public, in reperesenting Canada internationally, and in undertaking scientific inquiries of public import, for example in assessing the risks associated with nuclear winter, or in the Canadian Global Change Program. Often, Fellows of the RSC have individually achieved more in science than the Society has achieved institutionally but as this narrative shows, the dynamic between science, government, the RSC, and the Canadian public, has been important in Canadian science and in Canadian 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)0.013
metaresearch head score (Gemma)0.026
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.878

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0490.105
Scholarly communication0.0340.010
Open science0.0020.008
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0110.002

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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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

Citations2
Published2009
Admission routes3
Has abstractyes

Explore more

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