Trend 1993 - 2004. United Nations Economic Commission for Europe. Transport Statistics [Archive]: Road Traffic Accidents in Built-up Areas Involving Personal Injury | Country: Switzerland | Selection 1: Killed | Selection 2: Single vehicle accidents, 1993-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-004-011.
Bibliographic record
Abstract
United Nations Economic Commission for Europe (2016). Transport Statistics [Archive]: Road Traffic Accidents in Built-up Areas Involving Personal Injury | Country: Switzerland | Selection 1: Killed | Selection 2: Single vehicle accidents, 1993-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 054-004-011. Dataset: Shows fatal and other accidents in built-up areas, by accident type. The Transport Statistics database includes data on road safety, transport by road and rail, inland water traffic, oil pipelines, transport infrastructures, and railway employment. Data are provided, as available, for the 56 member states of the United National Economic Commission on Europe (UNECE) region, which include the countries of Europe, but also Canada, the United States, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Israel. The data are compiled by the Statistical Division of the UNECE Secretariat from different official national and international sources. NOTE: Data-Planet discontinued updating of this dataset in 2011 due to irregularities in the data structure. For more recent data on similar topics, please see the Eurostat database. Accidents between vehicle and pedestrian: Accidents involving one or several vehicles and pedestrians irrespective of whether the pedestrian was involved in the first or a later phase of the accident and of whether the pedestrian was injured or killed on or off the road. Single vehicle accidents: Accidents involving no collision with other road users, even though they may be involved, i.e. vehicle trying to avoid collision and veering off the road, or accident caused by collision with obstructions or animals on the road. Collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Accidents between vehicles: Remainder of Accidents between vehicle and pedestrian and Single vehicle accidents. Rear-end collision: Accident caused by a rear-end collision with another vehicle using the same lane of a carriageway and moving in the same direction or temporarily stopping due to the traffic conditions. Rear end collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Collision due to crossing or turning: Accident caused by a rear-end or head on collision with another vehicle moving in a lateral direction due to leaving or entry from/to another lane, road or premise. Rear end or head on collisions with vehicles waiting to turn belong to either Rear-end collision or Head on collision.Head on collision: Accident caused by a head on collision with another vehicle using the same lane of a carriageway and moving in the opposite direction or temporarily stopping due to traffic conditions. Head on collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Other collision, including collision with parked vehicles: Accident caused by driving side by side, while overtaking each other or when changing lanes (cutting in on someone), or by a rear-end or head-on collision with a stationary vehicle which stops or parks deliberately and not as a result of traffic conditions at the edge of a carriageway, on shoulders, on marked parking spaces, on footpaths or parking sites. Category: Transportation and Traffic Source: United Nations Economic Commission for Europe The United Nations Economic Commission for Europe (UNECE) was established in 1947 as one of the five regional economic commissions of the United Nations. Its major aim is to promote pan-European economic integration. To do so, UNECE brings together 56 countries located in the European Union, non-EU Western and Eastern Europe, South-East Europe and Commonwealth of Independent States (CIS) and North America. All these countries dialogue and cooperate under the aegis of the UNECE on economic and sectoral issues. http://www.unece.org/ Subject: Traffic Fatalities, Traffic Accidents
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.021 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.075 | 0.087 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".