TREND: International Monetary Fund. International Financial Statistics: Interest Rates, Prices, Production, or Labor | Country: Canada | Code: 64..XZF..., 01/1958 - 08/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-004-016
Notice bibliographique
Résumé
International Monetary Fund. International Financial Statistics: Interest Rates, Prices, Production, or Labor | Country: Canada | Code: 64..XZF..., 01/1958 - 08/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-004-016 Dataset: Reports interest rates set by central banks and other financial corporations. Quarterly and annual interest rate data are arithmetic averages of monthly interest rates reported by the countries. Also reported here are statistics on domestic prices, production, and labor market indicators. The index series are compiled from reported versions of national indices and, for some production and labor series, from absolute data. There is a wide variation between countries and over time in the selection of base years, depending upon the availability of comprehensive benchmark data that permit an adequate review of weighting patterns. The series are linked by using ratio splicing at the first annual overlap, and the linked series are shifted to a common base period 2010=100. This dataset covers approximately 32,000 time series covering more than 194 countries and areas starting in 1948. Coverage includes exchange rates, International Monetary Fund position, exchange rates, international liquidity, monetary statistics, interest rates, prices, production, labor, international transactions, and national accounts. Data availability varies by country and time period. http://data.imf.org/?sk=5DABAFF2-C5AD-4D27-A175-1253419C02D1 Category: Banking, Finance, and Insurance, International Relations and Trade Subject: Consumer Prices, Unemployment Rates, Interest Rates, Industrial Production, Finance, Labor Force, Banking, Price Indexes 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/
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,006 | 0,016 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,131 | 0,177 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».