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A Break from the Past: Impacts and Implications of the Canada Foundation for Innovation and the Canada Research Chairs Initiatives*

2002· article· fr· W1998502847 on OpenAlexaffabout
Claire Polster

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicFeminist Epistemology and Gender Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPolitical scienceGovernment (linguistics)Library sciencePublic administrationHumanitiesSociology

Abstract

fetched live from OpenAlex

Cet article cherche à explorer de façon préliminaire la nature et l'im‐pact de deux récentes initiatives fédérales concernant la recherche universitaire, soit la Fondation canadienne pour l'innovation et les Chaires de recherche du Canada. Une description des faits saillants de ces initiatives sera suivie d'une analyse centrée sur la manière dont ces initiatives contribuent à réorganiser les relations sociales entre les universités, le gouvernement, le secteur privé et le public général, de même que les relations au sein même de ces organismes. L'analyse considère ègalement les conséquences de cette réorganisation pour les groupes en cause afin d'éclairer les discussions et actions qu'ont engendrées ces initiatives singulières et significatives pour les études supérieures au Canada. This paper aims to explore—in a broad and preliminary way—the nature and impacts of two recent federal initiatives related to university research, namely the creation of the Canada Foundation for Innovation and the Canada Research Chairs Program. After describing and highlighting key features of these initiatives, the paper examines how they are helping to reorganize social relations within and between universities, government, the private sector, and the general public. It also considers some implications of these changes for the various parties involved, as a means of informing the latter's discussions of, and responses to, these unique and significant developments in Canadian higher education.

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)0.005
metaresearch head score (Gemma)0.008
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.624
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.011
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.145
GPT teacher head0.344
Teacher spread0.199 · 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 designObservational
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

Citations35
Published2002
Admission routes2
Has abstractyes

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