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Enregistrement W6920466956 · doi:10.6068/dp15e970d21f299

Trend 2005 - 2012. Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Science and Technology - Computer, Internet, and Telecommunications | Country: Czech Republic | Socioeconomic Indicator: Households with Access to the Internet, 2005-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 062-001-097.

2017· other· en· W6920466956 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2017
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBroadbandDownloadInternet accessCzechThe InternetOrder (exchange)Socioeconomic statusBroadband networks

Résumé

récupéré en direct d'OpenAlex

Organisation for Economic Co-operation and Development (OECD) (2017). OECD Factbook 2014: Economic, Environmental and Social Statistics: Science and Technology - Computer, Internet, and Telecommunications | Country: Czech Republic | Socioeconomic Indicator: Households with Access to the Internet, 2005-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. 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. Access to home computers is 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 either using a dial-up, DSL, cable modem or fibre broadband access. Fixed (wired) broadband include the total number of subscriptions to the following broadband technologies with download speeds greater than 256 kbit/s: DSL, Cable modem, fibre-to-the-home and other fixed technologies (such as broadband over power-line and leased lines). This dataset provides indicators included in the OECD Factbook 2014: 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 2014. Throughout the dataset, unless otherwise specified, the following conventions apply: (1) OECD Total refers to all the Organisation for Economic Co-operation and Development (OECD) countries listed in the table or chart; (2) OECD Average refers to the unweighted, arithmetic average of the listed countries; (3) the average values reported takes into account only those years for which data are available; and (4) “xxxx or latest available year” means that data for later years are not taken into account. OECD data sources vary across indicators: See the OECD Factbook 2014: Economic, Environmental, and Social Statistics ©OECD, available at http://www.oecd-ilibrary.org/economics/oecd-factbook-2014_factbook-2014-en for detail. Data values for some indicators have been updated and/or revised, as compared to the published OECD Factbook, which is a static document. Also note that the graph series published in the OECD Factbook are not replicated here: they are derived from the time series data. Category: Industry, Business, and Commerce, International Relations and Trade 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/ Subject: Computers, Internet Access, Telephones, Internet, Telecommunications

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,052
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,003
Communication savante0,0020,002
Science ouverte0,0030,003
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0190,022

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 Opus0,032
Tête enseignante GPT0,288
Écart entre enseignants0,256 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2017
Routes d'admission1
Résumé présentoui

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