Select the statement that best describes the curation team today, one per
chapter. The result shows a level for each chapter and the chapters to read
first. Answers are stored in this browser only.
1. Scope How is model assistance scoped?Not yet Staff use assistants informally, with no rule on what may be sent or published. Foundational A written rule names the tasks models may assist, forbids sending confidential records to external services, and requires curator approval before publication. AI-ready A task typology with decision rights is in place, and the records to start with are chosen from use and completeness. AI-native The scope is reviewed from acceptance rates and incidents each period. 2. Migrate How are legacy records moved into the schema?Not yet By retyping, or they stay where they are. Foundational Columns of one source are mapped by hand and migrated with a script; the report is reviewed. AI-ready A model proposes the mapping with confidence and notes, a curator confirms each row, every source is migrated, validated, and routed into review. AI-native Mappings are versioned per source, re-run on change, and unplaced columns feed schema change requests. 3. Draft How are fields drafted?Not yet By hand, or with ad hoc prompts. Foundational A fixed prompt with the record and the schema field definitions produces drafts marked as drafts. AI-ready Drafts are structured output checked against the schema and the completeness profile, with acceptance rates measured per field. AI-native Drafting runs over the catalog with templates per field, and acceptance rates gate prompt changes. 4. Assess How is metadata quality assessed?Not yet Not systematically. Foundational Curators score a sample on a rubric. AI-ready A model scores records on fixed dimensions with structured output, calibrated against curator scores on a sample. AI-native Scores are aggregated into catalog reports each period and drive the work list; calibration is re-checked when the model changes. 5. Review How are suggestions reviewed?Not yet Suggestions are applied or ignored without a record. Foundational A curator reads suggestions and applies the accepted ones by hand. AI-ready A review pipeline produces issues with category, severity, and a proposed fix; curators decide in a board with a diff view; decisions are recorded with reasons. AI-native Decisions flow back to the catalog through the editor, and to the evaluation set. 6. Standardize How are keywords and topics standardized?Not yet Free text; each curator writes their own. Foundational A list of preferred terms exists and curators consult it. AI-ready A SKOS vocabulary with alternates and URIs is maintained; free text is mapped to it, with unmapped terms reviewed. AI-native Mapping runs over the catalog with model proposals for unmapped terms, and labels exist per language under native review. 7. Translate How are records translated?Not yet They are not, or the browser translates the page. Foundational Names and keywords of the most used records are translated with the vocabulary's labels and reviewed by a native speaker. AI-ready Definitions and units are translated by a model with the glossary, checked automatically, reviewed, and published per language with status and reviewer. AI-native Acceptance per language and field is tracked, changes are gated on reviewed translations, and new records are translated at publication. 8. Improve How do decisions improve the system?Not yet They do not; prompts change when someone has an idea. Foundational Acceptance rates are reviewed occasionally. AI-ready Acceptance rates and an error taxonomy are tracked per field and model; prompt and model changes are gated by an evaluation set built from decisions. AI-native Routine tasks run on small or local models chosen by the evaluation; cost per record is known. 0 of 8 answered Show reading path Reset
Interpretation of the result
Chapter 1 first: the rule on confidential records and on curator
approval takes a day and prevents the costliest mistakes.
Chapter 2 where the records are in spreadsheets: nothing else can run
on them until they are in the schema.
Chapter 5 before scaling chapters 3 and 7: a drafting or translation
run without a review board and recorded decisions produces text nobody
checked.
Chapter 8 is where the investment pays: without recorded decisions,
every prompt change is a guess.