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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

9,602 results · 1 filter active ·
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20152024
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
9,602 works in the cohort · of 4,299,418page 141 of 193

Labels cover 10 of 9,602 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 9,602 of 9,602 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Trend: National Center for Education Statistics, National Center for Education Statistics (2024-02-23). Student Financial Aid and Net Price - Postsecondary Education: Private Institutions - Financial Aid by Income Level | 360 Degrees Beauty Academy | Total number of full-time, first-time degree-/certificate-seeking undergraduates at private not-for-profit or for-profit institutions who received Title IV federal student aid | Average amount of grant and scholarship aid received by full-time, first-time undergraduates at private not-for-profit or for-profit institutions who received Title IV federal student aid (all income levels) | Number of full-time, first-time undergraduates at private not-for-profit or for-profit institutions paying the in-state or in-district tuition rate who received Title IV federal student aid in income level (0-30,000) | Average amount of grant and scholarship aid received by full-time, first-time undergraduates at private not-for-profit or for-profit institutions who received Title IV federal student aid in income level (0-30,000) | Number of full-time, first-time undergraduates at private not-for-profit or for-profit institutions paying the in-state or in-district tuition rate who received Title IV federal student aid in income level (30,001-48,000) | Number of full-time, first-time undergraduates at private not-for-profit or for-profit institutions paying the in-state or in-district tuition rate who received Title IV federal student aid in income level (48,001-75,000) | Number of full-time, first-time undergraduates at private not-for-profit or for-profit institutions paying the in-state or in-district tuition rate who received Title IV federal student aid in income level (75,001-110,000) | Number of full-time, first-time undergraduates at private not-for-profit or for-profit institutions paying the in-state or in-district tuition rate who received Title IV federal student aid in income level (110,001 or more), 2009. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 017-016-007
2024· other· en· Data Planet· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
TREND: (IMF) International Monetary Fund. Direction of Trade Statistics: Exports | Country: Afghanistan, Albania, Algeria, Angola, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bolivia, Bosnia and Herzegovina, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote D'Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Estonia, Ethiopia, Faroe Islands, Fiji, Finland, France, French Guiana, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guadeloupe, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Liberia, Libya, Lithuania, Luxembourg, Macau, Macedonia, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Martinique, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Montenegro, Morocco, Mozambique, Nepal, Netherlands, Netherlands Antilles | Trading Partner: ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ARUBA, ANTIGUA AND BARBUDA, ANTIGUA AND BARBUDA, ANTIGUA AND BARBUDA, ANTIGUA AND BARBUDA, 2000 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-002-001
2016· other· en· Data Planet
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About