Bibliographic record
Abstract
Datasets\nFRED Economic Data: This is maintained by the Federal Reserve Bank of St. Louis and provides a huge variety of time-series data, which includes national income and product accounts (NIPA), labor market data, exchange rates, and sector-specific data.\nFRED Economic Data\n\nWorld Bank Open Data: Provides a large variety of economic, social, population, and development data from across the world.\nWorld Bank Open Data\n\nOECD Data: Provides a large variety of time-series data on OECD member countries. They have a vast number of datasets in various domains including economic projections.\nOECD Data\n\nEurostat: Eurostat is the statistical office of the European Union. Its mission is to provide high quality statistics for Europe. It provides access to a range of statistical information (data, publications and methodologies) on the Euro Area.\nEurostat\n\nIMF Data: The International Monetary Fund publishes data on international finances, debt rates, exchange rates, commodity prices, and investments.\nIMF Data\n\nUnited Nations Comtrade Database: UN Comtrade is a repository of official international trade statistics and relevant analytical tables. It contains annual trade statistics starting from 1962 and monthly trade statistics since 2002.\nUN Comtrade Database\n\nQuandl: canada brokers offers a vast collection of free and open data on the global economy, including databases that focus on target areas like futures, forex, indices, etc.\nQuandl\n\nU.S. Bureau of Economic Analysis (BEA): The BEA produces some of the world's most closely watched statistics, including U.S. gross domestic product, better known as GDP. They provide access to a range of economic data.\nU.S. Bureau of Economic Analysis (BEA)\n\nFederal Reserve Economic Data (FRED): Offers a wide range of time-series data which is not only limited to economics, but also includes banking, finance, and demographics among others.\nFederal Reserve Economic Data (FRED)\n\nPlease note that each of these databases have different terms of use, and some require you to create an account or apply for access to download data.
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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.639 | 0.608 |
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".