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DAC Peer Review of Norway

2010· article· en· W4251641962 on OpenAlexaboutno aff

Bibliographic record

VenueOECD journal on development · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamGuard (computer science)Flexibility (engineering)European commissionPeer reviewPolitical scienceCommissionPublic relationsPublic administrationEconomic growthBusinessComputer scienceManagementEuropean unionLawEconomicsEconomic policy

Abstract

fetched live from OpenAlex

This review contains the Main Findings and Recommendations of the Development Assistance Committee and the report of the Secretariat. It was prepared with examiners from Canada and the European Commission for the Peer Review on 21 October 2008. Norway is consistently at the forefront of donor efforts to improve the international aid system, as well as its own development policies and programmes. It supports aid effectiveness and its flexible approach to development assistance enables quick reaction to changing situations. Although its flexibility is generally considered a strength, Norway needs to guard against adding too many new priorities to an ever-expanding list of initiatives. Norway aspires to lead on selected cross-cutting issues such as women’s rights, gender equality and the environment but it is still struggling to fully ‘mainstream’ these objectives into programmes and projects.

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)0.031
metaresearch head score (Gemma)0.118
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.505

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.118
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.006
Science and technology studies0.0040.003
Scholarly communication0.0120.005
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1510.110

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 head0.048
GPT teacher head0.272
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2010
Admission routes1
Has abstractyes

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