The long-term preservation of the digital heritage: the case of universities institutional repositories
Bibliographic record
Abstract
L'articolo affronta le tematiche legate ai problemi della conservazione a lungo termine del contenuto degli archivi digitali. Il materiale d'archivio richiede un'attenzione speciale ad aspetti quali la credibilità, il valore giuridico, i diritti morali e legali e la privacy. La necessità di assicurare accessibilità e integrità ai dati informatici è tuttavia una problematica che attraversa tutti i campi dell'informatizzazione ed è strettamente legata a fattori come la frequente duplicazione e la corretta scelta dei metadadi. Attraverso l'analisi del caso di studio rappresentato da cIRcle, l'istitutional digital repository della University of British Columbia (UBC), il contributo mostra problemi, rischi e soluzioni utili nella gestione di un archivio digitale, mostrando che l'esperienza degli archivisti può essere utile per sviluppare sistemi legati a depositi di informazione non prettamente archivistici.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.031 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".