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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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Emerald Emerging Markets Case Studies
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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
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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.

30 results · 1 filter active ·
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20112025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
30 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 30 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 30 of 30 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
JD.com: leveraging the edge of e-business
Allan KK Chan, Caleb Huanyong Chen, Long Zhao
2018· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Last mile farm inputs: farm shop delivers
Monica Diochon, Yogesh Ghore
2016· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
aboutno affunlabeled
Shradhanjali.com: creating Blue Ocean
Amarpreet Singh Ghura, I. Praveen Kumar
2020· article· en· Emerald Emerging Markets Case Studies· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Osklen: the aesthetics of social change
Kim Poldner, Olga Ivanova, Oana Branzei
2016· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Alicia Meneces and the challenges of Aguablanca
Emmanuel Raufflet, Luz-Dinora Vera
2014· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Behind the veil
Alexandra Snelgrove, Ariane Ryan
2011· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Yogen Früz: it's all about ü
Adel Alsharji, Syed Zamberi Ahmad
2013· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sustaining the sisterhood: Soul Sisters Pakistan (SSP)
Sadaf Taimoor, Javaria Abbas, Beenish Tariq
2023· article· en· Emerald Emerging Markets Case Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Crediamigo: partnering with Vivacred?
Frédéric Lavoie, Emmanuel Raufflet
2012· article· en· Emerald Emerging Markets Case Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About