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Record W2895079943 · doi:10.1787/235c9806-en

How is research policy across the OECD organised?

2018· report· en· W2895079943 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOECD science, technology and industry policy papers · 2018
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsnot available
FundersNational Plan for Science, Technology and InnovationNational Health and Medical Research CouncilAustralian Research CouncilMedical Research CouncilSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCentro para el Desarrollo Tecnológico IndustrialCanadian Institutes of Health ResearchÖsterreichische ForschungsförderungsgesellschaftVlaamse regeringAgencia Estatal de InvestigaciónFundação para a Ciência e a TecnologiaCouncil for Science and Technology PolicyFonds Wetenschappelijk OnderzoekWaalse GewestInstituto de Salud Carlos IIIAustrian Science FundChristian Doppler ForschungsgesellschaftHigher Education AuthorityInnovationsfonden
KeywordsPolitical scienceRegional scienceGeography

Abstract

fetched live from OpenAlex

Building on a newly created policy indicator database, this paper provides a first systematic comparison of the governance of public research policy across 35 OECD countries from 2005 to 2017. The database was obtained following a three-year process that involved the development of an ontology of the governance of public research policy as well as data collection and validation by national authorities. The data show diverse institutions and mechanisms of policy action regarding higher education institutions (HEIs) and public research institutes (PRIs) are in place across the 35 OECD countries. The data also shows an increasing use of project funding, performance contracts and performance evaluations for HEIs and PRIs. In many countries, HEIs and PRIs are autonomous regarding their relations with industry, budget allocation but less frequently regarding salaries. Recent reforms have strengthened external stakeholders' participation in their governance, reflecting efforts to open research institutions.

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.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.010
Science and technology studies0.0040.016
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.129
GPT teacher head0.390
Teacher spread0.262 · 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