Q13, run 2026-11-04-2010-sonnet

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In 2024, which had more research works, Kesting University (I07) or Rostval Technical University (I09): under full counting, and under fractional counting?

Tests: Counting method: the ranking flips.

Expected: full = I09 fractional = I07

✅ R1 csv run 1 graded by code

Full: I09 (4 works: W21, W27, W28, W29). Fractional: I07 (2.0 vs 1.0).

JSON: {"full": "I09", "fractional": "I07"}

✅ R1 csv run 2 graded by code

Full: I09 (4 works: W21, W27, W28, W29, versus 3 for I07). Fractional: I07 (2.0 versus 1.0 for I09).

JSON: {"full": "I09", "fractional": "I07"}

✅ R1 csv run 3 graded by code

Full: I09 (4 vs 3). Fractional: I07 (2.0 vs 1.0). I09 has W21, W27, W28 and W29 at 0.25 each.

JSON: {"full": "I09", "fractional": "I07"}

✅ R1 csv run 4 graded by code

Full counting favours I09 (4 works against 3). Fractional counting favours I07 (2.0 against 1.0).

JSON: {"full": "I09", "fractional": "I07"}

✅ R1 csv run 5 graded by code

Full counting favours I09 (4 vs 3), and fractional counting favours I07 (2.0 vs 1.0). I09's 2024 works are W21, W27, W28 and W29, each worth 0.25.

JSON: {"full": "I09", "fractional": "I07"}

✅ R2 rdf run 1 graded by code

Full: I09 (4 works against 3). Fractional: I07 (2.0 against 1.0). I09's 2024 works are W21, W27, W28 and W29, with a ¼ share each.

JSON: {"full": "I09", "fractional": "I07"}

✅ R2 rdf run 2 graded by code

Full: I09. Fractional: I07. Rostval has 4 works (W21, W27, W28, W29) at 1/4 each, giving 1.0. Kesting has 3 works worth 2.0.

JSON: {"full": "I09", "fractional": "I07"}

✅ R2 rdf run 3 graded by code

Full counting: I09, with 4 works against 3. Fractional counting: I07, with 2 against 1. Rostval's 2024 works are W21, W27, W28 and W29, each a one-in-four share.

JSON: {"full": "I09", "fractional": "I07"}

✅ R2 rdf run 4 graded by code

Full counting: I09 (4 works against 3 for I07). Fractional counting: I07 (2.0 against 1.0 for I09). I09's four works are W21, W27, W28 and W29, each with one of four authors, so 0.25 each.

JSON: {"full": "I09", "fractional": "I07"}

✅ R2 rdf run 5 graded by code

Full counting: I09 (4 works: W21, W27, W28, W29). Fractional counting: I07 (2.0 vs 1.0).

JSON: {"full": "I09", "fractional": "I07"}

✅ R6 rdf+ontology run 1 graded by code

Full: I09 (4 works against 3). Fractional: I07 (2.0 against 1.0).

JSON: {"full": "I09", "fractional": "I07"}

✅ R6 rdf+ontology run 2 graded by code

Full: I09 (4 works vs 3). Fractional: I07 (2.0 vs 1.0). I09's 2024 works are W21, W27, W28, W29, each worth 0.25.

JSON: {"full": "I09", "fractional": "I07"}

✅ R6 rdf+ontology run 3 graded by code

Full: I09 (4 works against 3). Fractional: I07 (2.0 against 1.0).

JSON: {"full": "I09", "fractional": "I07"}

✅ R6 rdf+ontology run 4 graded by code

Full counting: I09 has 4 works (W21, W27, W28, W29) against 3 for I07. Fractional counting: I07 has 2.0 against 1.0 for I09, which gets 0.25 from each of its four works.

JSON: {"full": "I09", "fractional": "I07"}

✅ R6 rdf+ontology run 5 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional: I07, with 2.0 against 1.0 for I09 (0.25 for each of its four works).

JSON: {"full": "I09", "fractional": "I07"}

✅ R5 csv+ontology run 1 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional: I07, with 2.0 against 1.0 for I09, which gets 0.25 from each of its four works.

JSON: {"full": "I09", "fractional": "I07"}

✅ R5 csv+ontology run 2 graded by code

Full: I09. Fractional: I07. I09 has 4 works in 2024 (W21, W27, W28, W29) against 3 for I07. Fractionally I09 gets 4 × 0.25 = 1.0 against 2.0 for I07.

JSON: {"full": "I09", "fractional": "I07"}

✅ R5 csv+ontology run 3 graded by code

Full counting: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional counting: I07, with 2.0 against 1.0 for I09, which gets 0.25 from each of its four works.

JSON: {"full": "I09", "fractional": "I07"}

✅ R5 csv+ontology run 4 graded by code

Full counting: I09, with 4 works (W21, W27, W28, W29) against Kesting's 3. Fractional counting: I07, with 2.0 against 1.0, because I09 has one author of four on each of its four works.

JSON: {"full": "I09", "fractional": "I07"}

✅ R5 csv+ontology run 5 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional: I07, with 2.0 against 1.0 for I09, because I09 holds one of four authors on each of its four works.

JSON: {"full": "I09", "fractional": "I07"}

✅ R4 csv+markdown run 1 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional: I07, with 2.0 against 1.0 for I09.

JSON: {"full": "I09", "fractional": "I07"}

✅ R4 csv+markdown run 2 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional: I07, with 2.0 against 1.0 for I09 (four works at 0.25 each).

JSON: {"full": "I09", "fractional": "I07"}

✅ R4 csv+markdown run 3 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional: I07, with 2.0 against 1.0 for I09 (0.25 for each of its four works).

JSON: {"full": "I09", "fractional": "I07"}

✅ R4 csv+markdown run 4 graded by code

Full: I09. Fractional: I07. I09 has 4 works in 2024 (W21, W27, W28, W29) against Kesting's 3. I09's fractional total is 4 × 0.25 = 1.0, against Kesting's 2.0.

JSON: {"full": "I09", "fractional": "I07"}

✅ R4 csv+markdown run 5 graded by code

Full: I09 (4 works: W21, W27, W28, W29, against 3 for I07). Fractional: I07 (2.0, against 1.0 for I09).

JSON: {"full": "I09", "fractional": "I07"}

✅ R3 csv+padding run 1 graded by code

Full: I09, with 4 works (W21, W27, W28, W29) against 3 for Kesting. Fractional: I07, with 2.0 against 1.0 for Rostval.

JSON: {"full": "I09", "fractional": "I07"}

✅ R3 csv+padding run 2 graded by code

Full counting: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional counting: I07, with 2.0 against 1.0 for I09.

JSON: {"full": "I09", "fractional": "I07"}

✅ R3 csv+padding run 3 graded by code

Full: I09. Fractional: I07. In 2024 Rostval has 4 works (W21, W27, W28, W29) at 0.25 each, totalling 1.0. Kesting has 3 works totalling 2.0.

JSON: {"full": "I09", "fractional": "I07"}

✅ R3 csv+padding run 4 graded by code

Full counting: I09, with 4 works (W21, W27, W28, W29) against 3. Fractional counting: I07, with 2.0 against 1.0.

JSON: {"full": "I09", "fractional": "I07"}

✅ R3 csv+padding run 5 graded by code

Full counting: I09, with 4 works (W21, W27, W28, W29) against 3 for I07. Fractional counting: I07, with 2.0 against 1.0 for I09.

JSON: {"full": "I09", "fractional": "I07"}