Most Recent Data (2011). Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Energy and Transportation - Road Fatalities | Country: Germany | Socioeconomic Indicator: Road Fatalities, 2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 062-001-112.
Bibliographic record
Abstract
Organisation for Economic Co-operation and Development (OECD) (2017). OECD Factbook 2014: Economic, Environmental and Social Statistics: Energy and Transportation - Road Fatalities | Country: Germany | Socioeconomic Indicator: Road Fatalities, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 062-001-112. Dataset: Reports road fatalities per million inhabitants for the 34 Organisation for Economic Co-operation and Development (OECD) member nations, and Brazil, China, India, Indonesia, the Russian Federation, and South Africa, where available. Road fatality means any person killed immediately or within 30 days as a result of a road injury accident. Suicides involving the use of a road motor vehicle are excluded. 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: International Relations and Trade, Transportation and Traffic 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: Traffic Fatalities, Economic Development, Organization for Economic Cooperation and Development Countries (OECD), Social Development
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.154 | 0.023 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".