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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.

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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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COVID-19 Pandemic Impacts
Retraction
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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.

affaffiliation
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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.

1,869 results · 1 filter active ·
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20002025
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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.
1,869 works in the cohort · of 4,299,418page 15 of 38

Labels cover 10 of 1,869 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 1,869 of 1,869 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.

affunlabeled
The societal relevance of communities in the<scp>COVID</scp>‐19 era
Loris Vezzali, Darrin Hodgett, Liu Li, Katarina Pettersson, Anna Stefaniak, Elena Trifiletti +1 more
2022· article· en· Journal of Community & Applied Social Psychology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
COVID-19 and the food industry in Hungary
Timothy Yaw Acheampong, Peace Osaerame Ogbebor
2021· article· en· International journal of contemporary business and entrepreneurship· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Tunisia COVID-19 Country Case Study
2022· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
An Overview of COVID-19 and Its Progression in Ghana
John Antwi Apenteng, Samuel Korsah, Miriam Tagoe, Anthony Kwabena Sarfo
2023· article· en· International Journal of TROPICAL DISEASE & Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Expected Post-Pandemic Consumption and Scarred Expectations from COVID-19
Edward S. Knotek, Michael McMain, Raphael Schoenle, Alexander Dietrich, Kristian Ove R. Myrseth, Michael Weber
2021· article· en· Economic Commentary (Federal Reserve Bank of Cleveland)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
A Return to Mechanical Solidarity
Patricia Anderson
2020· article· en· Crossing Borders Student Reflections on Global Social Issues· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
COVID-19, Occupation Tasks and Mental Health in Canada
Louis‐Philippe Beland, Abel Brodeur, Derek Mikola, Taylor Wright
2020· article· en· Carleton Economic Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
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