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Record W1558671649 · doi:10.1111/ropr.12028

The <scp>W</scp>orld <scp>B</scp>ank as <scp>K</scp>nowledge <scp>B</scp>ank: Analyzing the Limits of a Legitimate Global Knowledge Actor

2013· article· en· W1558671649 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReview of Policy Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsBalsillie School of International AffairsUniversity of WaterlooUniversity of TorontoGlobal Affairs Canada
Fundersnot available
KeywordsCONTESTLegitimacyDimension (graph theory)State (computer science)BusinessPolitical scienceSociologyLawComputer science

Abstract

fetched live from OpenAlex

Abstract The W orld B ank has always sold ideas, not just loans. Starting in 1996, then president J ames W olfensohn rebranded the B ank by articulating a formal vision of a “ K nowledge B ank”—a provider of state‐of‐the‐art expertise on development. After a number of internal changes and assessments, the Bank is acknowledging that it needs to be more humble, pluralistic, and practical. Why do some regard the B ank as a legitimate knowledge actor, whereas others contest that authority? We offer an analytical framework that can explain stakeholders' uneven recognition of the B ank's knowledge role. When stakeholders define knowledge as products, the B ank generally obtains recognition for the quality and quantity of the information it generates. This is the output dimension of legitimacy. On the other hand, when knowledge only counts as such to users who have been part of the process of creating it, the Bank finds itself with limited recognition.

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)0.012
metaresearch head score (Gemma)0.075
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.075
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.006
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.004

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 head0.096
GPT teacher head0.455
Teacher spread0.359 · 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