OECD International Trade in Services, 1970-2013
Bibliographic record
Abstract
The OECD International Trade in Services provides annual data and is presented in the following tables: Trade in services - EBOPS 2010 This dataset aims to assemble and disseminate balance of payments data on trade in services at the most detailed partner-country and service-category level available. To the extent that countries report them, data are also broken down by type of service according to the EBOPS classification. These data cover international trade in services between residents and non-residents of countries and are reported within the framework of the sixth edition of the IMF's Balance of Payments Manual and the Extended Balance of Payments Services Classification (EBOPS2010), which is consistent with the balance of payments classification but is more detailed. Statistics by partner country and service category on international trade in services such as transportation, communication services, financial services, government services are recorded for Australia and Chile from 1999 onwards and shown in US dollars. Trade in services - EBOPS 2002 This dataset provides statistics on international trade in services by service category and partner country for 34 OECD countries plus the European Union (EU27), the euro area (EA17), the Russian Federation and Hong Kong, China as well as definitions and methodological notes. These data cover international trade in services between residents and non-residents of countries and are reported within the framework of the fifth edition of the IMF's Balance of Payments Manual and the Extended Balance of Payments Services Classification (EBOPS 2002), which is consistent with the balance of payments classification but is more detailed. To the extent that countries report them, data are also broken down by type of service according to the EBOPS classification. Series are shown in national currency, euros and US dollars and are recorded from 1970 onwards. Trade in services: national classification items This dataset contains additional national data on international trade in services for Australia, Canada, New Zealand, Turkey and the United States. The data are reported within the framework of the fifth and sixth editions of the IMF's Balance of Payments Manual and the Extended Balance of Payments Services Classification (EBOPS 2002 and EBOPS 2010), which is consistent with the balance of payments classification but is more detailed. Series are shown in US dollars and are recorded from 1970 onwards. These data were first provided by the UK Data Service in November 2004. The UK Data Service web site includes further information on its OECD International Trade in Services holdings, including a dataset user guide and details of latest database updates. Citation: The bibliographic citation for the database is: Organisation for Economic Cooperation and Development ({YYYY}): International Trade in Services ({Ed. Data download: YYYY-MM}). UK Data Service. DOI: {edition specific doi - e.g. http://dx.doi.org/10.5257/oecd/serv/2010-04}. Alternative DOIs: 10.1787/tis-data-en (to access via OECD.Stat subscription).
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.031 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.087 | 0.059 |
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".