TREND: International Monetary Fund. Balance of Payments: Services | Country: Canada | International Monetary Fund Subject: Services | Code: 1B9BX, 1948 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-006-004
Bibliographic record
Abstract
International Monetary Fund. Balance of Payments: Services | Country: Canada | International Monetary Fund Subject: Services | Code: 1B9BX, 1948 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-006-004 Dataset: Reports transactions in services broken down by sector between residents and nonresidents for International Monetary Fund member countries. Services are the result of a production activity that changes the conditions of the consuming units, or facilitates the exchange of products or financial assets. Services are not generally separate items over which ownership rights can be established and cannot generally be separated from their production. For each country, jurisdiction, or other reporting entity, the time series are provided as a balance and as credit vs debit in national currency as available, and in United States dollars. The Balance of Payments Statistics (BOPS) database, published by the International Monetary Fund (IMF), contains time series of quarterly and annual BOPS data for more than 180 countries, jurisdictions, or other reporting entities. For some of these countries, the data have been supplemented by data IMF economists have derived from other sources. BOPS summarizes the economic transactions of a country with the rest of the world. It reports total goods, services, factor income, and current transfers an economy receives from or provides to the rest of the world, as well as capital transfers and changes in each economy’s external financial claims and liabilities. http://data.imf.org/?sk=7A51304B-6426-40C0-83DD-CA473CA1FD52 Category: International Relations and Trade Subject: International Trade, International Economic Organizations, Balance of Payments Source: International Monetary Fund Headquartered in Washington, DC, the International Monetary Fund (IMF) was conceived at a United Nations conference convened in Bretton Woods, New Hampshire, United States, in July 1944. The 44 governments represented at that conference sought to build a framework for economic cooperation that would avoid a repetition of the vicious circle of competitive devaluations that had contributed to the Great Depression of the 1930s. As of 2015, the IMF has 188 member countries. Its primary purpose is to ensure the stability of the international monetary system, specifically the system of exchange rates and international payments that enables countries (and their citizens) to transact with one other. This system is essential for promoting sustainable economic growth, increasing living standards, and reducing poverty. The Fund’s mandate has recently been clarified and updated to cover the full range of macroeconomic and financial sector issues that bear on global stability. The IMF is a specialized independent agency of the United Nations but has its own charter, governing structure, and finances. Its members are represented through a quota system broadly based on their relative size in the global economy. http://www.imf.org/
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 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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.027 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.194 | 0.242 |
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".