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Record W6939306209 · doi:10.6068/dp1700ba51f1616

TREND: International Monetary Fund. Regional Economic Outlook: Western Hemisphere: Gross Domestic Product | Country: Canada, 2011 - 2024. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 056-013-011

2020· other· en· W6939306209 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGross domestic productCurrencyExchange ratePer capitaReal gross domestic productGross domestic incomeGross national incomeProduct (mathematics)National accounts

Abstract

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International Monetary Fund. Regional Economic Outlook: Western Hemisphere: Gross Domestic Product | Country: Canada, 2011 - 2024. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 056-013-011 Dataset: Reports Gross Domestic Product (GDP) in national currency converted to US dollars using market exchange rates (yearly average). Exchange rate projections are provided by country economists for the group of other emerging market and developing countries. The Regional Economic Outlook (REO): Western Hemisphere database provides descriptive statistics on recent economic developments and prospects for nations in the Western hemisphere. Data are prepared in conjunction with the IMF World Economic Outlook (WEO), and data are consistent with projections underlying the WEO. Arithmetic weighted averages are used for all concepts, except for inflation and broad money, for which geometric weighted averages are used. PPP (purchasing power parity) GDP (gross domestic product) weights from the WEO are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in US dollars at market exchange rates. See the Technical Documentation for definitions of country aggregates and to identify data values that represent projections vs statistics. http://data.imf.org/?sk=3E40CD07-7BD1-404F-BFCE-24018D2D85D2 Category: Industry, Business, and Commerce, International Relations and Trade Subject: Economic Development, Gross Domestic Product (GDP) 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0170.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0680.008

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 head0.041
GPT teacher head0.270
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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