Trend 12/2001 - 12/2008. World Bank. Global Economic Monitor: Broad Money (M2) to Foreign Reserves, Ratio | Country: Canada, 12/2001-12/2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 051-003-001.
Bibliographic record
Abstract
World Bank (2015). Global Economic Monitor: Broad Money (M2) to Foreign Reserves, Ratio | Country: Canada, 12/2001-12/2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 051-003-001. Dataset: Broad money (M2) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler's checks; and other securities such as certificates of deposit and commercial paper. The statistic presented here reports the ratio of M2 to the amount held in foreign currency, by country. The Global Economic Monitor (GEM) dataset includes economic indicators on 196 countries. Data are provided where available by country, country group, and/or reporting entity. Statistics presented include interest rates, exchange rates, equity markets, bond spreads, consumer prices, Gross Domestic Product, industrial production, and merchandise trade.The World Bank obtains this data from its own databases, the International Monetary Fund and other sources. The Bank normalizes the data to the extent possible to support country-country comparisons. Data sources and years of coverage vary across indicators. Much of the data comes from the statistical systems of World Bank member countries. The quality of the data depends on how well these national systems perform. Errata announcements are posted periodically by the World Bank at http://data.worldbank.org/about/data-updates-errata. Category: Banking, Finance, and Insurance, International Relations and Trade Source: World Bank Founded in 1944 as a result of the Bretton Woods Conference, the World Bank is an independent specialized agency of the United Nations that provides financial and technical assistance to developing countries in order to foster economic growth and reduce poverty. Today, the World Bank Group comprises five institutions owned by 187 member countries: the International Bank for Reconstruction and Development (IBRD), which focuses on middle-income and creditworthy poor countries; the International Development Association (IDA), which focuses on least developed countries; the International Finance Corporation (IFC); the Multilateral Guarantee Agency (MIGA); and the International Centre for the Settlement of Investment Disputes (ICSID). http://www.worldbank.org/ Subject: Money Supply, Money, Foreign Holdings
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.017 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.101 | 0.116 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".