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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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Trends in language acquisition research
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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.

14 results · 1 filter active ·
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20112025
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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.
14 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 14 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 14 of 14 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
The typical development of simultaneous bilinguals
Elin Thordardottir
2014· book-chapter· en· Trends in language acquisition research· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
81
citations
affunlabeled
Learning the meaning of “um”
Celeste Kidd, Katherine S. White, Richard Ν. Aslin
2011· book-chapter· en· Trends in language acquisition research· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
20
citations
affunlabeled
Filler syllables as precursors of referring expressions
Naomi Yamaguchi, Anne Salazar Orvig, Marine Le Mené, Stéphanie Caët, Annie Rialland
2020· book-chapter· en· Trends in language acquisition research· Arts and Humanities
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
7
citations
affunlabeled
Referring expressions and developmental language disorders
Stefano Rezzonico, Mélanie Bernasconi, Geneviève de Weck, Christine da Silva-Genest, Stéphane Jullien
2020· book-chapter· en· Trends in language acquisition research· Psychology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
6
citations
affunlabeled
Referring in dialogical narratives
Stefano Rezzonico, Élise Vinel, Geneviève de Weck, Hassan Rouba, Nathalie Salagnac
2020· book-chapter· en· Trends in language acquisition research· Arts and Humanities
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
6
citations
affunlabeled
Sticking to what we know
Emily Atkinson
2022· book-chapter· en· Trends in language acquisition research· Neuroscience
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Language input and language learning
Lara J. Pierce, Fred Genesee
2014· book-chapter· en· Trends in language acquisition research· Psychology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Grammar policing children
Thomas St. Pierre, Katherine S. White, Elizabeth K. Johnson
2025· book-chapter· en· Trends in language acquisition research· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About