Q10, run 2026-11-06-0206-haiku

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How many research works is the Albury University System (I01) credited with, all its units included?

Tests: Hierarchy: both universities and their labs, a work shared between them (W12) counted once.

Expected: count = 140

❌ R1 csv run 1 graded by code

166. Hand-tallied, adding I05, I20 and I21 to the Q9 set.

JSON: {"count": 166}

Why: count: expected 140, got 166

❌ R1 csv run 2 graded by code

About 178 research works, which is the University of Albury set (about 123) plus about 55 more from the I05 and I20/I21 units. This is also a manual-scan estimate.

JSON: {"count": 178}

Why: count: expected 140, got 178

❌ R1 csv run 3 graded by code

181 research works credited to the Albury University System, which covers the I02 subtree plus I05, I20 and I21.

JSON: {"count": 181}

Why: count: expected 140, got 181

❌ R1 csv run 4 graded by code

(no answer found)

Why: no structured answer

❌ R1 csv run 5 graded by code

(no answer found)

JSON: {"count": 179}

Why: count: expected 140, got 179

❌ R3 csv+padding run 1 graded by code

Not completed. This needs the full I01-subtree tally (I02–I06, I19–I21), which I have not finished.

JSON: {"count": null}

Why: count: expected 140, got None

❌ R3 csv+padding run 2 graded by code

166 research works (all of I01, including I05, I20 and I21).

JSON: {"count": 166}

Why: count: expected 140, got 166

❌ R3 csv+padding run 3 graded by code

About 176 distinct research works across the whole I01 system (adds I05, I20, I21 to the I02 set).

JSON: {"count": 176}

Why: count: expected 140, got 176

❌ R3 csv+padding run 4 graded by code

176. This is the I02-family set (119), plus I05-family works (43 after merging one pair), plus I20 (8) and I21 (6).

JSON: {"count": 176}

Why: count: expected 140, got 176

❌ R3 csv+padding run 5 graded by code

181. This adds the I05, I20 and I21 works to the 124 in Q9.

JSON: {"count": 181}

Why: count: expected 140, got 181

❌ R4 csv+markdown run 1 graded by code

(no answer found)

Why: no structured answer

❌ R4 csv+markdown run 2 graded by code

(no answer found)

Why: no structured answer

❌ R4 csv+markdown run 3 graded by code

135 research works. The I01 subtree adds I05 and I20 (I21 and I06 are affiliated, so excluded) to the I02 subtree.

JSON: {"count": 135}

Why: count: expected 140, got 135

❌ R4 csv+markdown run 4 graded by code

(no answer found)

Why: no structured answer

❌ R4 csv+markdown run 5 graded by code

136*. Counted over the I01 tree (I02 family, I05 and I20; I06 and I21 are affiliated institutes and excluded).

JSON: {"count": 136}

Why: count: expected 140, got 136

❌ R5 csv+ontology run 1 graded by code

(no answer found)

Why: no structured answer

❌ R5 csv+ontology run 2 graded by code

136. This adds the I05 and I20 works to the Q9 set (I21 and I06 are affiliated institutes and excluded). This count was checked by hand and may contain small errors.

JSON: {"count": 136}

Why: count: expected 140, got 136

❌ R5 csv+ontology run 3 graded by code

≈134. This is Q9's set plus the I05 and I20 works (I05 and I20 sit under I01; I21 is an affiliated institute, so excluded).

JSON: {"count": 134}

Why: count: expected 140, got 134

❌ R5 csv+ontology run 4 graded by code

(no answer found)

JSON: {"count": null}

Why: count: expected 140, got None

❌ R5 csv+ontology run 5 graded by code

136 research works. This is the Albury subtree (Q9) plus the I05/I20 subtree, with I21 excluded as affiliated.

JSON: {"count": 136}

Why: count: expected 140, got 136

❌ R10 executed run 1 graded by code

132 research works. I01's units are I01, I02, I03, I04, I05, I19 and I20, and I took the union of their distinct works. This is a manual tally.

JSON: {"count": 132}

Why: count: expected 140, got 132

✅ R10 executed run 2 graded by code

140. Same method for I01 and its units (I02, I03, I04, I05, I19, I20). Hand-tallied, so treat as approximate.

JSON: {"count": 140}

❌ R10 executed run 3 graded by code

131. I01's units are I01, I02, I03, I04, I05, I19 and I20 (I21 and I06 are not in institution_units for I01), and their distinct research works total 131.

JSON: {"count": 131}

Why: count: expected 140, got 131

❌ R10 executed run 4 graded by code

135 (hand tally).
This is the I02 set (91) plus I05 and I20 credits not already counted (36 + 8).

JSON: {"count": 135}

Why: count: expected 140, got 135

❌ R10 executed run 5 graded by code

About 137 research works (I01's units are I02, I03, I04, I05, I19 and I20; I20 contributes eight more beyond the I02 set and I05 contributes 36). Treat as approximate.

JSON: {"count": 137}

Why: count: expected 140, got 137