MétaCan
Menu
Retour à la cohorte
Enregistrement W6939089167 · doi:10.6068/dp15015ae4d9320

TREND: International Monetary Fund. Balance of Payments: Secondary Income | Country: Canada | International Monetary Fund Subject: Secondary income | Code: 1D9999 B A, 1999 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-006-006

2015· other· en· W6939089167 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2015
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBalance of paymentsCurrencyMeasures of national income and outputCurrent accountCapital (architecture)Comprehensive incomeBalance (ability)Capital formationGross fixed capital formation

Résumé

récupéré en direct d'OpenAlex

International Monetary Fund. Balance of Payments: Secondary Income | Country: Canada | International Monetary Fund Subject: Secondary income | Code: 1D9999 B A, 1999 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-006-006 Dataset: Reports secondary income as current transfers between residents and nonresidents for International Monetary Fund member countries. Various types of current transfers are recorded in this account to show their role in the process of income distribution between the economies. Transfers may be made in cash or in kind. (Capital transfers are shown in the capital account.) Whereas primary income affects national income, secondary income, together with primary income, affects gross national disposable income. The balance on the secondary income account presents total credits less total debits, and is called balance on secondary income. 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. The BOPS data are presented in accordance with the standard components of the sixth edition of the IMF Balance of Payments Manual (BPM6 [2009] http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm). (For changes between BPM5 and BPM6, see Appendix 8 of the manual and http://www.imf.org/external/pubs/ft/bop/2007/bpm6faq.pdf.) Similarly, international investment position (IIP) data also are presented in the BPM6 format. The IIP of a country is a balance sheet of its stock of external financial assets and liabilities. For certain countries, the IIP data do not contain sufficient detail to warrant publication. For each country, jurisdiction, or other reporting entity included in the BOPS database, the time series are provided in national currency as available, and in United States dollars. Conversion is performed on the basis of average US dollar/national currency exchange rates for BOPS data and on end-of-period exchange rates for IIP data. When the data are available, the annual and quarterly entries begin in 2005. http://elibrary-data.imf.org/ Category: International Relations and Trade Subject: Gross National Income (GNI), International Economic Organizations, Balance of Payments, Income 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,280
Score d'incertitude au seuil0,562

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,013
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0090,025
Études des sciences et des technologies0,0020,001
Communication savante0,0050,003
Science ouverte0,0040,002
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,1260,146

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,267
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueData PlanetTravaux en français237 207