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Record W2093762649 · doi:10.7202/1013984ar

Performing Strategic Science in the Public Interest: Updating the Policy Debate Regarding Government Science

2013· article· en· W2093762649 on OpenAlexaffvenueabout
Jeff Kinder, Frank S. Welsh

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGovernment (linguistics)Position (finance)Order (exchange)Public policyPublic administrationScience policyTheme (computing)Political scienceEconomicsBusinessFinanceLaw

Abstract

fetched live from OpenAlex

The performance of science and technology (S&T) activities in the federal government has long been supported as a means of advancing innovation and economic objectives as well as of addressing public policy and regulatory needs. As Canada’s science and innovation system has matured, however, the federal government’s relative contribution to Canada’s overall performance of research and development has declined significantly—from about 30% (of total spending) in 1971 to under 9% today. Throughout this period, a dominant policy theme with respect to government S&T has been to migrate these activities from government into the private or academic sectors. The authors trace this history and argue that science policy thinking regarding federally-performed S&T must evolve with the changing position of government laboratories in Canada’s science and innovation system. A case is made for maintaining an adequate S&T capacity within the federal government in order to deliver on unique public interest roles.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0020.032
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.046
GPT teacher head0.232
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2013
Admission routes3
Has abstractyes

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