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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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Human Mobility and Location-Based Analysis
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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
fundfunder
venuejournal
aboutaboutness

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

769 results · 1 filter active ·
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20012025
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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.
769 works in the cohort · of 4,299,418page 1 of 16

Labels cover 2 of 769 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 769 of 769 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
Smart cities of the future
Michael Batty, Kay W. Axhausen, Fosca Giannotti, Alexei Pozdnoukhov, Armando Bazzani, Mónica Wachowicz +2 more
2012· article· en· The European Physical Journal Special Topics· Social Sciences
machine prediction:candidate · noneconsensus · none
2,146
citations
afffundaboutunlabeled
A review of quantitative methods for movement data
Jed A. Long, Trisalyn Nelson
2012· review· en· International Journal of Geographical Information Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
184
citations
affunlabeled
Geographic Information Science I
Stéphane Roche
2014· article· en· Progress in Human Geography· Social Sciences
machine prediction:candidate · noneconsensus · none
134
citations
fundno affunlabeled
Network-Based Functional Regions
Carson Farmer, A. Stewart Fotheringham
2011· article· en· Environment and Planning A Economy and Space· Social Sciences
machine prediction:candidate · noneconsensus · none
127
citations
affunlabeled
Urban Human Mobility
Jinzhong Wang, Xiangjie Kong, Lijun Sun
2019· article· en· ACM SIGKDD Explorations Newsletter· Social Sciences
machine prediction:candidate · noneconsensus · none
107
citations
fundno affunlabeled
Spatial big data and anxieties of control
Agnieszka Leszczynski
2015· article· en· Environment and Planning D Society and Space· Social Sciences
machine prediction:candidate · stsconsensus · none
97
citations
affunlabeled
Processing GPS data from travel surveys
Peter Stopher, Qingjian Jiang, Camden FitzGerald
2005· article· en· Transport Research Forum· Social Sciences
machine prediction:candidate · noneconsensus · none
76
citations
fundno affunlabeled
Immigrant community integration in world cities
Fabio Lamanna, Maxime Lenormand, María Henar Salas-Olmedo, Gustavo Romanillos, Bruno Gonçalves, José J. Ramasco
2018· article· en· PLoS ONE· Social Sciences
machine prediction:candidate · noneconsensus · none
69
citations
affunlabeled
geoSmartCity
Sylvie Daniel, Marie-Andree Doran
2013· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
67
citations
affaboutunlabeled
Analysis of Pedestrian Travel with Static Bluetooth Sensors
Yegor Malinovskiy, Nicolas Saunier, Yinhai Wang
2012· article· en· Transportation Research Record Journal of the Transportation Research Board· Social Sciences
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
A Location-Query-Browse Graph for Contextual Recommendation
Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson
2017· article· en· IEEE Transactions on Knowledge and Data Engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
61
citations
afffundunlabeled
DataMobile: Smartphone Travel Survey Experiment
Zachary Patterson, Kyle Fitzsimmons
2016· article· en· Transportation Research Record Journal of the Transportation Research Board· Social Sciences
machine prediction:candidate · noneconsensus · none
60
citations

How this was built: Screen · Findings · About