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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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Spatial Cognition and Navigation
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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
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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.

919 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.
919 works in the cohort · of 4,299,418page 4 of 19

Labels cover 1 of 919 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 919 of 919 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
When Far Becomes Near
Andrea Cavallo, Caterina Ansuini, Francesca Capozzi, Barbara Tversky, Cristina Becchio
2016· article· en· Psychological Science· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
venueno affunlabeled
Where Is It (in the Map)? Recall and Recognition of Spatial Information
Anne-Kathrin Bestgen, Dennis Edler, Christina Müller, Patrick Schulze, Frank Dickmann, Lars Kuchinke
2017· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Engineering
machine prediction:candidate · noneconsensus · none
39
citations
afffundno abstractunlabeled
Exploration patterns shape cognitive map learning
Iva K. Brunec, Melissa M. Nantais, Jennifer E. Sutton, Russell A. Epstein, Nora S. Newcombe
2022· article· en· Cognition· Engineering
machine prediction:candidate · noneconsensus · none
38
citations
affno abstractunlabeled
Sex Differences in Left/Right Confusion
Kirsten Jordan, Torsten Wüstenberg, Fern Jaspers‐Fayer, Anja Fellbrich, Michael Peters
2006· article· en· Cortex· Engineering
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
A basis for bias in geographical judgments
Alinda Friedman, Norman Brown, Aaron McGaffey
2002· article· en· Psychonomic Bulletin & Review· Engineering
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
Developmental Topographical Disorientation
Giuseppe Iaria, Ford Burles
2016· review· en· Trends in Cognitive Sciences· Engineering
machine prediction:candidate · noneconsensus · none
33
citations
afffundno abstractunlabeled
Enhancing visual cues to orientation
Laurence R. Harris, Michael Jenkin, R. T. Dyde, H. L. Jenkin
2011· review· en· Progress in brain research· Engineering
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Design of embodied interfaces for engaging spatial cognition
Paul Clifton, Jack Shen-Kuen Chang, Georgina Yeboah, Alison Doucette, Sanjay Chandrasekharan, Michael A. Nitsche +2 more
2016· article· en· Cognitive Research Principles and Implications· Engineering
machine prediction:candidate · noneconsensus · none
32
citations

How this was built: Screen · Findings · About