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Record W2093675212 · doi:10.5130/cjlg.v0i5.1478

Bridging the divide: Making research matter to local government

2010· article· en· W2093675212 on OpenAlexfundno aff
Mark Redwood

Bibliographic record

VenueCommonwealth Journal of Local Governance · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsCommonwealthDeclarationLocal governmentBridging (networking)Public administrationGovernment (linguistics)MainstreamPolitical scienceWork (physics)Public relationsLawEngineering

Abstract

fetched live from OpenAlex

The ‘Freeport Declaration on Improving Local Government: The Commonwealth Vision’, affirmed at the May 2009 Commonwealth Local Government Conference by 550 councillors, mayors, and senior officials from 48 countries, outlined the clear importance of research in public policy development. In the words of the Declaration: “practice oriented research should become more prominent in the work of CLGF,” and this is to be achieved through the Commonwealth Local Government Forum (CLGF) Research Advisory Group, comprised of participants drawn from universities, training organizations and other research-related bodies in about a dozen member countries. These statements should be the basis of a radical change in how researchers engage local governments.

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)0.265
metaresearch head score (Gemma)0.345
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2650.345
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0090.010
Science and technology studies0.0230.116
Scholarly communication0.0540.092
Open science0.0070.049
Research integrity0.0260.024
Insufficient payload (model declined to judge)0.0170.004

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 head0.087
GPT teacher head0.338
Teacher spread0.251 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainEvaluation
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

Citations0
Published2010
Admission routes1
Has abstractyes

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