Strumenti per l'interoperabilita : qualita dei dati, apertura, interdisciplinarita
Bibliographic record
Abstract
The article is focused on the concept of interoperability, whose relevance is also demonstrated by the existence of the Guidelines on technical interoperability of Public Administrations on which the Threeyear plan for IT in Public Administration is based. The essential condition for interoperability is the existence of metadata that exactly describe an object; this is especially important in the digital environment. There are different types of metadata – descriptive, administrative, structural, preservation, usage – and scientific communities have developed different metadata schemes that, if maintained by organisations such as the International Organisation for Standardisation, assume the status of standards. Data quality and openness are fundamental requirements for the exchange of information. Since the Ontario New Universities Library Project - ONULP (1963), libraries have been using metadata for automatic data processing; the article reviews the MARC format, Dublin Core Metadata Initiative (DCMI), the national and international standard (ISO 23950) Z39.50, the Open archival information system (OAIS). Interoperability is a recent field of study and it has not yet been fully achieved; in the digital environment, interdisciplinarity has led to the search for exchange with other contexts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.056 | 0.131 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.019 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.041 | 0.039 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".