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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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Healthcare professionals’ stress and burnout
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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.

1,945 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.
1,945 works in the cohort · of 4,299,418page 2 of 39

Labels cover 8 of 1,945 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 1,945 of 1,945 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
Measuring Burnout
Christina Maslach, Michael P. Leiter, Wilmar B. Schaufeli
2009· book-chapter· en· Oxford University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
193
citations
affunlabeled
Nurses and stress: recognizing causes and seeking solutions
Brenda Happell, Trudy Dwyer, Kerry Reid‐Searl, Karena J. Burke, Cristina M. Caperchione, Cadeyrn J. Gaskin
2013· article· en· Journal of Nursing Management· Health Professions
machine prediction:candidate · noneconsensus · none
193
citations
affaboutunlabeled
Occupational stress in Canadian universities: A national survey.
Vic Catano, Lori Francis, Ted Haines, Haresh Kirpalani, Harry S. Shannon, Bernadette Stringer +1 more
2010· article· en· International Journal of Stress Management· Health Professions
machine prediction:candidate · noneconsensus · none
176
citations
affunlabeled
Mental health and stigma in the medical profession
Jean E. Wallace
2010· article· en· Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
169
citations
affaboutunlabeled
Stress and Depression in Students
Richard Sawatzky, Pamela A. Ratner, Chris G. Richardson, Cheryl Washburn, Walter Sudmant, Patricia Mirwaldt
2011· article· en· Nursing Research· Health Professions
machine prediction:candidate · noneconsensus · none
142
citations
affunlabeled
Measuring Nurse Job Satisfaction
Maureen F. Best, Norma E. Thurston
2004· article· en· JONA The Journal of Nursing Administration· Health Professions
machine prediction:candidate · noneconsensus · none
142
citations
affaboutunlabeled
Job stress and job satisfaction of cancer care workers
Eva Grunfeld, Louise Zitzelsberger, Marjorie Coristine, Timothy J. Whelan, Faye Aspelund, William K. Evans
2004· article· en· Psycho-Oncology· Health Professions
machine prediction:candidate · noneconsensus · none
139
citations
affunlabeled
Building physician resilience.
Phyllis Marie Jensen, Karen Trollope‐Kumar, Heather Waters, Jennifer Everson
2008· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
136
citations
affunlabeled
Burnout among doctors
Jane B Lemaire, Jean E. Wallace
2017· editorial· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
134
citations

How this was built: Screen · Findings · About