Q29, run 2026-11-06-0206-haiku

โ† back to the run

Of the works citing "Drift-aware mapping with low-cost sonar" (either version), how many are self-citations at the level of authors, of the University of Albury (units included), and of countries?

Tests: Self-citation depends on the level; W12 is Mara Ellison under another record, W13 her co-author; W16 is the other M. Ellison.

Expected: author = 7 institution = 10 country = 20

๐ŸŸก R1 csv run 1 graded by code

Author 7; institution 12; country 21. Counted over the 30 distinct works citing W02 or W03.

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

โŒ R1 csv run 2 graded by code

Not computed yet. This is deferred to the next batch. Author-level matching has to account for ORCIDs shared across A01, A02, A03 and A101.

JSON: {"author": null, "institution": null, "country": null}

Why: author: expected 7, got None; institution: expected 10, got None; country: expected 20, got None

๐ŸŸก R1 csv run 3 graded by code

Author-level 7, institution-level 12 (the Albury subtree), country-level 21 (GB).

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

โŒ R1 csv run 4 graded by code

(no answer found)

Why: no structured answer

โŒ R1 csv run 5 graded by code

(no answer found)

JSON: {"author": 4, "institution": 12, "country": 21}

Why: author: expected 7, got 4; institution: expected 10, got 12; country: expected 20, got 21

๐ŸŸก R3 csv+padding run 1 graded by code

Self-citations among the 29 works citing W02/W03: by person (ORCID), 7; by University of Albury (units included), 12; by country (GB), 21. At the exact-record level, the author figure drops to 4.

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

๐ŸŸก R3 csv+padding run 2 graded by code

Author-level 7, University of Albury-level 12, country-level 21 (of the 29 citing works).

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

๐ŸŸก R3 csv+padding run 3 graded by code

Author-level 7 (person identity by ORCID: W12, W13, W598, W676, W833, W843, W1048); Albury-level 12; country (GB) level 21.

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

๐ŸŸก R3 csv+padding run 4 graded by code

Author-level 7; University of Albury (units included) 12; country (GB) 21.

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

๐ŸŸก R3 csv+padding run 5 graded by code

Author 7, institution 12, country 21 self-citations. These are counted against W02/W03, whose authors are at I02 and I03 (GB).

JSON: {"author": 7, "institution": 12, "country": 21}

Why: institution: expected 10, got 12; country: expected 20, got 21

โŒ R4 csv+markdown run 1 graded by code

(no answer found)

Why: no structured answer

โŒ R4 csv+markdown run 2 graded by code

(no answer found)

Why: no structured answer

โœ… R4 csv+markdown run 3 graded by code

Author-level 7 (W12, W13, W598, W676, W833, W843, W1048); University of Albury level 10; country (GB) level 20.

JSON: {"author": 7, "institution": 10, "country": 20}

โŒ R4 csv+markdown run 4 graded by code

(no answer found)

Why: no structured answer

โœ… R4 csv+markdown run 5 graded by code

Author 7, institution 10, country 20. Cited works are W02 and W03; the counts are self-citations at each level, with W02 and W03 as the cited works.

JSON: {"author": 7, "institution": 10, "country": 20}

โŒ R5 csv+ontology run 1 graded by code

(no answer found)

Why: no structured answer

โœ… R5 csv+ontology run 2 graded by code

Author 7, institution 10, country 20. The GB count assumes countries of credited institutions as defined in the ontology.

JSON: {"author": 7, "institution": 10, "country": 20}

โŒ R5 csv+ontology run 3 graded by code

Author self-citations: 6. Albury (units included): 9. Country (GB): 18.

JSON: {"author": 6, "institution": 9, "country": 18}

Why: author: expected 7, got 6; institution: expected 10, got 9; country: expected 20, got 18

โŒ R5 csv+ontology run 4 graded by code

(no answer found)

JSON: {"author": null, "institution": null, "country": null}

Why: author: expected 7, got None; institution: expected 10, got None; country: expected 20, got None

โŒ R5 csv+ontology run 5 graded by code

5 author self-citations (W12, W13, W598, W676, W843), 8 Albury-level (W12, W13, W273, W315, W598, W676, W843, W931), and 17 country-level (GB).

JSON: {"author": 5, "institution": 8, "country": 17}

Why: author: expected 7, got 5; institution: expected 10, got 8; country: expected 20, got 17

โœ… R10 executed run 1 graded by code

Author 7, institution 10, country 20. The citing works are the 27 from Q19. Shared author A01 or A07 gives 7 self-citations. Any I02/I03/I04/I19 credit gives 10. Any GB institution gives 20.

JSON: {"author": 7, "institution": 10, "country": 20}

โœ… R10 executed run 2 graded by code

Author-level 7, institution-level 10, country-level 20. Author-level: W12, W13, W598, W676, W833, W843, W1048 share A01 or A07 with W03. Institution-level: the 10 works with an I02/I03/I04/I19 credit. Country-level: the 20 works with a GB credit.

JSON: {"author": 7, "institution": 10, "country": 20}

๐ŸŸก R10 executed run 3 graded by code

Author self-citations: 7 (W12, W13, W598, W676, W833, W843, W1048). Albury (I02 units) institution self-citations: 8. Country (GB) self-citations: 19. The 26 citing works are the set listed in Q19.

JSON: {"author": 7, "institution": 8, "country": 19}

Why: institution: expected 10, got 8; country: expected 20, got 19

๐ŸŸก R10 executed run 4 graded by code

Author self-citations 7; institution (Albury units) 11; country 21.
Author matches are W12, W13, W598, W676, W833, W843 and W1048. Country matches are the 21 citing works with a GB-affiliated author.

JSON: {"author": 7, "institution": 11, "country": 21}

Why: institution: expected 10, got 11; country: expected 20, got 21

โœ… R10 executed run 5 graded by code

Author self-citations: 7 (W12, W13, W598, W676, W833, W843, W1048). Institution (University of Albury units): 10. Country (GB): 20.

JSON: {"author": 7, "institution": 10, "country": 20}