MétaCan
Menu
← Retour à la cohorte
Enregistrement W6976863329 · doi:10.6068/dp14be690ec067

RANKING: Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2013: Economic, Environmental and Social Statistics: Science and Technology - Computer, Internet and Telecom | Socioeconomic Indicator: Households with Access to Home Computers, 2011. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-097

2015· other· en· W6976863329 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2015
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInternet accessTelephone lineThe InternetSocioeconomic statusIntegrated Services Digital NetworkBroadbandDigital subscriber lineTelephonyDigital divide

Résumé

récupéré en direct d'OpenAlex

Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2013: Economic, Environmental and Social Statistics: Science and Technology - Computer, Internet and Telecom | Socioeconomic Indicator: Households with Access to Home Computers, 2011. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-097 Dataset: Shows the percentage of households with access to a home computer, percentage of households with access to the Internet, and number of telecommunication access paths per 100 inhabitants for the 34 Organisation for Economic Co-operation and Development (OECD) member countries, and Brazil, China, India, Indonesia, South Africa, and the Russian Federation, where available. Access to home computers is defined as the number of households that reported having at least one personal computer in working order in their home. In almost all cases access to the Internet is via a personal computer using a dial-up, ADSL, or cable broadband access. Number of telecommunication access paths refers to the total number of fixed lines (standard analogue access lines and ISDN lines), DSL, cable modem subscribers, and mobile telephone subscribers for OECD countries and China. For Brazil, India, the Russian Federation, and South Africa, total communication access paths are the sum of main telephone lines in operation, ISDN lines, DSL and cable modem subscribers, and cellular mobile telephone subscribers. This dataset provides indicators included in the OECD Factbook 2013: Economic, Environmental, and Social Statistics, updated annually by the Organisation for Economic Co-operation and Development (OECD). Indicators, reported in 12 broad subject areas, cover a wide range of topics: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure, and research and development. Data are provided for all OECD member countries and Brazil, China, India, Indonesia, Russia, and South Africa, where available. NOTE: The data presented here are copyrighted by OECD and reproduction is subject to OECD permissions policies: See http://www.oecd.org/rights for further information. Indicator descriptions are based on the OECD Factbook 2013. http://www.oecd-ilibrary.org/economics/oecd-factbook-2013_factbook-2013-en Statistics on ICT use by households may run into problems of international comparability because of structural differences in the composition of households. On the other hand, statistics on ICT use by individuals may refer to people of different ages, and age is an important determinant of ICT use. Household- and person-based measures yield different figures in terms of levels and growth rates of ICT use. Such differences complicate international comparisons and make benchmarking exercises based on a single indicator of Internet access or use misleading, since country rankings change according to the indicator used. For telecommunications access, data for OECD countries are collected according to agreed definitions and are highly comparable. The data shown for the nine non-OECD countries were partly collected according to the OECD definitions and partly provided by the International Telecommunication Union (ITU). The definition used by ITU is slightly narrower than the one used by the OECD, although data reported for the two sets of countries can be regarded as broadly comparable. Category: Industry, Business, and Commerce Subject: Telephones, Organization for Economic Cooperation and Development Countries (OECD), Computers, Internet Access, Telecommunications, Internet Source: Organisation for Economic Co-operation and Development (OECD) Established in 1961, when 18 European countries plus the United States and Canada joined together to create an organization dedicated to global development, the Organisation for Economic Co-operation and Development (OECD) today includes 34 member countries from around the globe, ranging from North and South America to Europe and the Asia-Pacific region. Member countries include many of the world’s advanced countries as well as emerging nations. The OECD mission remains the promotion of policies that will improve the economic and social well-being of people around the world. The OECD collects and analyzes data on a broad range of topics to help governments foster prosperity and fight poverty through economic growth and financial stability, at the same time taking the environmental implications of economic and social development into account. The OECD Secretariat collects and analyzes data, after which committees discuss policy regarding this information, the Council makes decisions, and then governments implement recommendations. The performance of individual countries is monitored following implementation via a system of multilateral surveillance and a peer review process. The OECD is headquartered in Paris, France, and it is funded by its member countries. National contributions are based on a formula that takes account of the size of each member's economy. The largest contributor is the United States, which provides nearly 24% of the budget, followed by Japan. http://www.oecd.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)0,003
score de la tête « metaresearch » (Gemma)0,019
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 enseignants0,096
Score d'incertitude au seuil0,322

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,019
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0110,038
Études des sciences et des technologies0,0010,001
Communication savante0,0050,004
Science ouverte0,0030,003
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0960,116

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 Opus0,022
Tête enseignante GPT0,264
Écart entre enseignants0,242 · 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 Planet→Travaux en français237 207→