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Enregistrement W6976918678 · doi:10.6068/dp1571d69f05969

TREND: (IMF) International Monetary Fund. Historical Government Finance Statistics: Deficit/Surplus of Total Financing | Country: Argentina, Australia, Austria, Bahamas, Bahrain, Bangladesh, Barbados, Belgium, Belize, Benin, Bhutan, Bolivia, Botswana, Brazil, Bulgaria, Burkina Faso, Burma, Burundi, Cameroon, Canada, Cayman Islands, Central African Republic, Chad, Chile, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote D'Ivoire, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kenya, Kuwait, Lesotho, Liberia, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritius, Mexico, Morocco, Namibia, Nepal, Netherlands, Netherlands Antilles, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Romania, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Senegal, Seychelles, Sierra Leone, Singapore, Solomon Islands, Somalia, South Africa, South Korea, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syria, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Uganda, United Arab Emirates, United Kingdom, United States, Uruguay, Vanuatu, Venezuela, Zambia, Zimbabwe | Government Entity: Central Government Consolidated Accounts | International Monetary Fund Subject: DEFICIT/SURPLUS, 1972 - 1989. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-005-001

2016· other· en· W6976918678 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2016
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGovernment (linguistics)State (computer science)Public financeCONQUESTSAINTSocial securityCentral government

Résumé

récupéré en direct d'OpenAlex

(IMF) International Monetary Fund. Historical Government Finance Statistics: Deficit/Surplus of Total Financing | Country: Argentina, Australia, Austria, Bahamas, Bahrain, Bangladesh, Barbados, Belgium, Belize, Benin, Bhutan, Bolivia, Botswana, Brazil, Bulgaria, Burkina Faso, Burma, Burundi, Cameroon, Canada, Cayman Islands, Central African Republic, Chad, Chile, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote D'Ivoire, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kenya, Kuwait, Lesotho, Liberia, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritius, Mexico, Morocco, Namibia, Nepal, Netherlands, Netherlands Antilles, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Romania, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Senegal, Seychelles, Sierra Leone, Singapore, Solomon Islands, Somalia, South Africa, South Korea, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syria, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Uganda, United Arab Emirates, United Kingdom, United States, Uruguay, Vanuatu, Venezuela, Zambia, Zimbabwe | Government Entity: Central Government Consolidated Accounts | International Monetary Fund Subject: DEFICIT/SURPLUS, 1972 - 1989. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-005-001 Dataset: Reports annual deficits or surpluses for central, state or province, and local levels of government. Where available, central government deficits or surpluses are separated for budgetary funds, extrabudgetary funds, and social security accounts. The deficit/surplus for central government consolidated accounts is also reported, along with the amount of total financing required by the central government to meet obligations. The deficit or surplus is defined as revenue plus grants received less expenditure less lending minus repayments. A government deficit thus represents the portion of expenditure and lending that exceeds receipts and which the government covers by undertaking obligations for future repayment and/or running down its liquidity holdings. A government surplus represents the excess of revenue, grants, and loan repayment receipts over expenditure and lending, which the government allocates to reducing its obligations for future repayment and/or building up its liquidity holdings. Total financing represents the sum of net borrowing by the government, plus the net decrease in government cash, deposits, and securities held for liabilities purposes. Total financing is equal in amount to the deficit/surplus but carries the opposite sign. This statistic thus measures whether the government meets the costs of expenditure and lending activities undertaken for public policy purposes with receipts, without increasing its obligations for future repayment or running down its liquidity holdings, thus providing a comprehensive view of a government's overall financial position. The database provides time-series data of annual deficit/surplus or total financing, revenues or grants, expenditures, lending minus repayments, domestic financing, foreign financing, domestic debt or total debt, and foreign debt of governments for 149 countries, 1972 to 1989, as available for International Monetary Fund member countries and other reporting entities. (For 1990-forward data, see the Government Finance Statistics database.) Annual data are supplied for central, state or province, and local levels of government. Data are in national currencies with the major components and expenditures on education, health, social security and agriculture shown also as a percentage of gross domestic product (GDP). The dataset provides internationally comparable data on national finances and fiscal policies. Data for the Government Finance Statistics are obtained primarily by means of a questionnaire distributed to IMF member governments, and utilize a cash-based system. http://www.imf.org/external/pubs/cat/longres.cfm?sk=18674.0 Category: Government and Politics, International Relations and Trade Subject: State Government, Local Government, Budget Deficits, Public Finance, Federal Budget, Government Spending, Budgets, Federal Government 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)0,004
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 enseignants0,972
Score d'incertitude au seuil0,283

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0050,014
Études des sciences et des technologies0,0010,000
Communication savante0,0050,004
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0850,118

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 Opus0,014
Tête enseignante GPT0,239
Écart entre enseignants0,225 · 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
Publié2016
Routes d'admission1
Résumé présentoui

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