MétaCan
Menu
Back to cohort
Record W2118695241 · doi:10.26530/oapen_472457

Governing Failure - Provisional Expertise and the Transformation of Global Development Finance

2014· book· en· W2118695241 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversity of Ottawa
FundersUniversity of CambridgeStrongUniversity of OttawaPrinceton UniversityUniversity of QueenslandUniversity of OxfordHarvard UniversitySocial Sciences and Humanities Research Council of CanadaCopenhagen Business SchoolWorld Bank Group
KeywordsCorporate governanceVulnerability (computing)PoliticsGlobal governancePolitical scienceBusinessPublic administrationFinanceComputer scienceComputer securityLaw

Abstract

fetched live from OpenAlex

Jacqueline Best argues that the changes in International Monetary Fund, World Bank and donor policies in the 1990s, towards what some have called the 'Post-Washington Consensus,' were driven by an erosion of expert authority and an increasing preoccupation with policy failure. Failures such as the Asian financial crisis and the decades of despair in sub-Saharan Africa led these institutions to develop governance strategies designed to avoid failure: fostering country ownership, developing global standards, managing risk and vulnerability and measuring results. In contrast to the structural adjustment era when policymakers were confident that they had all the answers, the author argues that we are now in an era of provisional governance, in which key actors are aware of the possibility of failure even as they seek to inoculate themselves against it. This book considers the implications of this shift, asking if it is a positive change and whether it is sustainable.This title was made Open Access by libraries from around the world through Knowledge Unlatched.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.971
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.209
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