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Record W3145208460 · doi:10.1787/337ab3ff-en

Financial Action Task Force (FATF)

2019· book-chapter· en· W3145208460 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueSecretary-General's report to Ministers · 2019
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsnot available
FundersAfrican UnionChina Scholarship CouncilEuropean Commission
KeywordsTask forceAction (physics)FinanceBusinessTask (project management)EconomicsPolitical sciencePublic administrationManagementPhysics

Abstract

fetched live from OpenAlex

Since 2007, the Secretary-General completed almost 600 trips abroad (593).In 2018, 34 of his 45 visits abroad (76%) were to OECD member countries.Five were to key partner countries and six were to accession and other non-member countries:l Thirty-four trips to 22 of the 36 OECD member countries: Austria (3 visits), Belgium (1), Canada (3), Chile (1), Czech Republic (1), Germany (1), Greece (1), Ireland (1), Italy (1), Japan (1), Korea (1), Latvia (1), Lithuania (1), Mexico (4), the Netherlands (1), Poland (1), Portugal (1), Slovakia (1), Spain (3), Switzerland (2), the United Kingdom (1) and the United States (3).l Five visits to key partner countries: Brazil (1), Indonesia (1) and the People's Republic of China (3).The Chief of Staff and the Deputy Secretaries-General also visited key partner countries on a number of occasions to support the Secretary-General's activities.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.874
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.005

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 head0.042
GPT teacher head0.245
Teacher spread0.203 · 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