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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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Marketing Intelligence & Planning
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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.

47 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.
47 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 47 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 47 of 47 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Innovative mobile marketing via smartphones
Ajax Persaud, Irfan Azhar
2012· article· en· Marketing Intelligence & Planning· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
283
citations
affunlabeled
Demographics, attitudes, and technology readiness
José I. Rojas‐Méndez, A. Parasuraman, Nicolas Papadopoulos
2017· article· en· Marketing Intelligence & Planning· Decision Sciences
distilled prediction:candidate · metaresearch+stsconsensus · none
162
citations
fundno affunlabeled
eWOM, eReferral and gender in the virtual community
A. Mohammed Abubakar, Mustafa İlkan, Pınar Şahin
2016· article· en· Marketing Intelligence & Planning· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
137
citations
affunlabeled
Perceived quality in higher education: an empirical study
Cristina Calvo-Porral, Jean-Pierre Lévy-Mangín, Isabel Novo‐Corti
2013· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
114
citations
affunlabeled
Segmenting the online consumer market
Muhammad Aljukhadar, Sylvain Sénécal
2011· article· en· Marketing Intelligence & Planning· Social Sciences
distilled prediction:candidate · metaresearch+sts+insufficient_payloadconsensus · none
68
citations
affunlabeled
X-Scale: a new scale to measure consumer xenocentrism
José I. Rojas‐Méndez, Sindy Chapa
2019· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
43
citations
affunlabeled
Price as a variable in online consumer trade‐offs
Ted Karlsson, Leyland Pitt, Stavroula Spyropoulou
2005· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
24
citations
affunlabeled
Salesforce output control and customer-oriented selling behaviours
Fortune Edem Amenuvor, Richard Basilisco, Henry Boateng, Kwan Soo Shin, Dohyun Im, Kwasi Owusu-Antwi
2022· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
21
citations
affaboutunlabeled
Selling the Canadian Forces' brand to Canada's youth
Kylie McMullan, Pinder Rehal, Katy Read, Judy Luo, Ashley Huating Wu, Leyland Pitt +2 more
2009· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
e‐Marketing Ireland: cashing in on green dots
Wade Halvorson, Anjali Bal, Leyland Pitt, Michael Parent
2012· article· en· Marketing Intelligence & Planning· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Service leniency: a dual logics perspective
Harriman Samuel Saragih
2025· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The “ICON” archetype
Leyland Pitt, Esmail Salehi‐Sangari, Jean‐Paul Berthon, Deon Nel
2007· article· en· Marketing Intelligence & Planning· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
0
citations

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