2.5 KiB
DA/EN source disagreement audit
The detailed field-level report is data/reports/source-disagreements.parquet. It compares the
202,393 shared object_number identities while isolating 305 duplicate identity groups that first
need duplicate resolution.
Findings
For comparable singleton records:
rights: 50,425 differences, all the same localization pair: DAhttps://www.smk.dk/section/brug-af-museets-materiale/versus ENhttps://www.smk.dk/en/section/use-of-smk-material/;- normalized dimensions: 156 differences;
has_image: 7 differences;- image width and height: 15 differences each (8 unequal, 5 missing in DA, 2 missing in EN);
- IIIF image IDs/info: 11 differences each (3 unequal, 6 missing in DA, 2 missing in EN);
- image thumbnail/native URLs: 15 differences each.
There were no comparable-singleton disagreements in public_domain, colors, brightness,
contrast, saturation, entropy or colortemp. Palette ordering therefore also agrees across the
language snapshots wherever both contain a comparable singleton record.
The image differences are not merely localization. Examples include KKS1984-179 (2048×3072 DA
versus 5078×6618 EN with different IIIF IDs) and KKSgb5300 (8180×5262 DA versus 999×643 EN).
The seven has_image disagreements go in both directions. Dimension differences include both
small numeric conflicts (DEP977) and measurements present in only one language.
Source precedence recommendation
- Identity: match cross-language rows by SMK
idwhere available and verifyobject_number; do not use array position. - Localized text: retain DA and EN independently with their explicit source language.
rights: preserve both URLs, but map this exact localized pair to one policy concept. Usepublic_domainplus the original rights URL for legal provenance.- Palette and visual values: accept the shared value when equal. If a future snapshot disagrees, flag it rather than apply global language precedence.
- Image metadata: choose a coherent image bundle (IIIF ID, width, height and URLs) at row level. Prefer the bundle that is internally complete and consistent; if both differ and are complete, retain both and require freshness/content verification. Never mix dimensions from one bundle with an image ID from the other.
- Dimensions: compare localized canonical tuples, preserve both originals, and leave conflicting canonical values unresolved unless an explicit part-aware rule decides them.
- Missing one language: retain the available source value with provenance.