The Experience of Ukrainian Archives in the Creation of the Digital Access Fund of Documents of the National Archival Holdings
Bibliographic record
Abstract
On the basis of synthesis of materials of the study conducted by the Ukrainian Research Institute of Archival Affairs and Records Keeping in 2018, information on the common practices of the Ukrainian archives in creation of the digital access fund was provided. The main problems, the solution of which can signifi cantly optimize organization of work of the digital access fund, was singled out. References: CIMS-S001. Information Management Standard – Creating and Managing Digitized Records. (2015). Toronto. Retrieved from: https://www.toronto.ca/ wp-content/uploads/2017/08/971f-Creating-and-Managing-Digitized-Records-pdf. [in English]. Įsakymas dėl skaitmeninio turinio kūrimo ir valdymo valstybės archyvuose tvarkos aprašo patvirtinimo 2018 m. lapkričio 26 d. Nr. VE-90. Retrieved from: https://e- seimas.lrs.lt/portal/legalAct/lt/TAD/28200462f1bd11e89d4ad92e8434e309?jfwid=1 v569an2a [in Lithuanian]. ISO/TR 13028:2010. Information and documentation – Implementation guidelines for digitization of records. Retrieved from: https://www.iso.org/standard/52391. html [in English]. Puglia, , Reed, J. & Rhodes, E. (2004). Technical Guidelines for Digitizing Archival Materials for Electronic Access: Creation of Production Master Files. Raster Images. Retrieved from: https://www.archives.gov/files/preservation/technical/guidelines.pdf [in English]. Banach, M., Shelburne, B., Shepherd, K. & Rubenstein, A. (2011). UMass Amherst Libraries Guidelines for Digitization: Retrieved from: https://www.library.umass.edu/assets/Digital-Strategies-Group/Guidelines-Policies/ UMass-Amherst-Libraries-Best-Practice-Guidelines-for-Digitization-20110523- templated.pdf [in English]. Zarządzenie Nr 14 z 31 sierpnia 2015 r. w sprawie digitalizacji zasobu archiwalnego archiwów państwowych. Retrieved from: https://archiwa.gov.pl/images/docs/ akty_normatywne/zarz_14-pdf [in Polish]. Didukh, L. V. (Comp.) (2016). Kopiiuvannia dokumentiv u arkhivnykh ustanovakh Ukrainy: metodychni rekomendatsii. Derzhavna arkhivna sluzhba Ukrainy, UNDIASD. Kyiv. Retrieved from: http://undiasd.archives.gov.ua/doc/mr_copy_docs.pdf [in Ukrainian]. Metodicheskie rekomendacii po podgotovke i peredache arkhivnyh dokumentov dlya ocifrovyvaniia, ucheta i khraneniia cifrovyh kopij: utv. prikazom direktora Departamenta po arkhivam i deloproizvodstvu Ministerstva yusticii Respubliki Belarus ot 25.11.2008 № 38. Retrieved from: https://archives.gov. by/index.php?id=133837#mr [in Russian]. Prykhodko, L. V. (Comp.) (2014). Oblik dokumentiv u derzhavnykh arkhivakh Ukrainy: instruktsiia. Derzhavna arkhivna sluzhba Ukrainy, UNDIASD. Kyiv. [in Ukrainian]. Pravyla roboty arkhivnykh ustanov Ukrainy, zatverdzheni nakazom Ministerstva iustytsii Ukrainy vid 08 kvitnia 2013 r. № 656/5, zareiestrovani u Ministerstvi yustytsii Ukrainy 10 kvitnia 2013 r. za № 584/23116 (zi zminamy). Retrieved from: https://zakon.rada.gov.ua/laws/show/z0584-13 [in Ukrainian]. Khartiia o sokhranenii cifrovogo naslediia. In Akty Generalnoi konferencii, 32 sessiia Parizh, 29 sentiabria – 17 oktiabria 2003 g. T 1. Rezoliucii. Retrieved from: http://unesdoc.unesco.org/images/0013/001331/133171r.pdf [in Russian]. Didukh, V., Zalietok, N. V. & Kovtaniuk, T. M. (Comp.) (2018). Tsyfrovyi fond korystuvannia dokumentamy Natsionalnoho arkhivnoho fondu: stvorennia, zberihannia, oblik ta dostup do noho: metodychni rekomendatsii. Derzhavna arkhivna sluzhba Ukrainy, Ukrainskyi naukovo-doslidnyi instytut arkhivnoi spravy ta dokumentoznavstva. Kyiv. [in Ukrainian].
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".