Q12, run 2026-11-06-0519-sonnet-query
How many research works did Kesting University (I07, units included) publish in 2024, under full counting and under fractional counting (each work split equally among its authors)?
Tests: Counting method: W20 is half Kesting's, W21 two quarters, W22 whole.
Expected: full = 13 fractional = 11
sql run 1
Full counting gives 14 and fractional counting gives 12.
JSON: {"full": 14, "fractional": 12}
Why: full: expected 13, got 14; fractional: expected 11, got 12
sql run 2
Full counting gives 13 and fractional counting gives 11.0.
JSON: {"full": 13, "fractional": 11}
sql run 3
Full counting gives 14 and fractional counting gives 12.0.
JSON: {"full": 14, "fractional": 12}
Why: full: expected 13, got 14; fractional: expected 11, got 12
sql run 4
Full counting gives 14; fractional counting gives 12.0.
JSON: {"full": 14, "fractional": 12.0}
Why: full: expected 13, got 14; fractional: expected 11, got 12.0
sql run 5
Full 14, fractional 12.0.
JSON: {"full": 14, "fractional": 12}
Why: full: expected 13, got 14; fractional: expected 11, got 12
sql+markdown run 1
Full counting gives 13 and fractional counting gives 11.0.
JSON: {"full": 13, "fractional": 11}
sql+markdown run 2
Full 10, fractional 6.75.
JSON: {"full": 10, "fractional": 6.75}
Why: full: expected 13, got 10; fractional: expected 11, got 6.75
sql+markdown run 3
Full 10, fractional 5.5.
JSON: {"full": 10, "fractional": 5.5}
Why: full: expected 13, got 10; fractional: expected 11, got 5.5
sql+markdown run 4
Full 13, fractional 11.0.
JSON: {"full": 13, "fractional": 11}
sql+markdown run 5
Full 13, fractional 11.0.
JSON: {"full": 13, "fractional": 11}
sql+executed run 1
Full 13, fractional 11.0.
JSON: {"full": 13, "fractional": 11}
sql+executed run 2
Full counting gives 13 and fractional counting gives 11.0 for I07 in 2024.
JSON: {"full": 13, "fractional": 11}
sql+executed run 3
Full counting gives 13 and fractional gives 11.0 for I07 in 2024.
JSON: {"full": 13, "fractional": 11}
sql+executed run 4
Full counting gives 13 and fractional counting gives 11.0 for I07 in 2024.
JSON: {"full": 13, "fractional": 11.0}
sql+executed run 5
Full counting gives 13 and fractional counting gives 11.0.
JSON: {"full": 13, "fractional": 11}
sparql run 1
Full counting gives 14 and fractional counting gives 12.0.
JSON: {"full": 14, "fractional": 12}
Why: full: expected 13, got 14; fractional: expected 11, got 12
sparql run 2
(no answer found)
JSON: {"full": 0, "fractional": 0}
Why: full: expected 13, got 0; fractional: expected 11, got 0
sparql run 3
Full 15, fractional 8.5 (a guess, as the query failed).
JSON: {"full": 15, "fractional": 8.5}
Why: full: expected 13, got 15; fractional: expected 11, got 8.5
sparql run 4
Full counting gives 14 and fractional counting gives 12.0.
JSON: {"full": 14, "fractional": 12}
Why: full: expected 13, got 14; fractional: expected 11, got 12
sparql run 5
(no answer found)
JSON: {"full": null, "fractional": null}
Why: full: expected 13, got None; fractional: expected 11, got None
sparql+ontology run 1
Full counting gives 10. Fractional is about 7.5, an estimate, because I did not obtain an institution-level fractional figure.
JSON: {"full": 10, "fractional": 7.5}
Why: full: expected 13, got 10; fractional: expected 11, got 7.5
sparql+ontology run 2
Full 13, fractional 11.0.
JSON: {"full": 13, "fractional": 11}
sparql+ontology run 3
Full 13. I did not obtain the fractional count: that query failed, so my 8.5 is an estimate, not a computed value.
JSON: {"full": 13, "fractional": 8.5}
Why: fractional: expected 11, got 8.5
sparql+ontology run 4
Full counting gives 13 for I07 in 2024. The fractional query failed, so the fractional figure (6) is an estimate.
JSON: {"full": 13, "fractional": 6}
Why: fractional: expected 11, got 6
sparql+ontology run 5
Full 13, fractional about 5.83. These are I07's 2024 counts.
JSON: {"full": 13, "fractional": 5.83}
Why: fractional: expected 11, got 5.83