Archivaria: The Journal of the Association of Canadian Archivists br. 85 (2018)
Bibliographic record
Abstract
PRIKUPLJANJE, OBRADA I KORIŠTENJE ARHIVSKOGA GRADIVA 9. (KNINSKOG) KORPUSA JUGOSLAVENSKE NARODNE ARMIJE U HRVATSKOM MEMORIJALNO-DOKUMENTACIJSKOM CENTRU DOMOVINSKOG RATA U ZAGREBU UDK: 355.48(497.5)"1991/1995"(093.2) 355.311.4(497.1)"1991/1992"930.253:355(497.521.2)(093)Pregledni rad U Hrvatskom memorijalno-dokumentacijskom centru Domovinskog rata u Zagrebu čuva se arhivski fond 9. korpus Jugoslavenske narodne armije, obima pedeset i osam kutija (5,8 dužnih metara) gradiva nastaloga od 1972.do 1992.godine.Fond izvorno nije činio jednu organsku cjelinu, nego je nastao izdvajanjem gradiva korpusa iz više dokumentacijskih cjelina tijekom višegodišnjega razdoblja.Uslijed toga, fond je arhivistički obrađivan u tri faze te je završen u lipnju 2018.godine.Izrađeno je obavijesno pomagalo (sumarni inventar).Gradivo je javno i dostupno svim korisnicima koji Hrvatskomu memorijalno-dokumentacijskomu centru Domovinskoga rata podnesu zahtjev za uvid u sadržaj i pretraživanje fonda.Gradivo je autentično, dobro očuvano i vjerodostojno.Navedeni fond ima veliku informacijsku vrijednost te je iznimno važan povijesni izvor za proučavanje Domovinskog rata na Brigović I., Caričić J. Prikupljanje, obrada i korištenje arhivskoga gradiva 9. (kninskog) korpusa Jugoslavenske narodne armije u Hrvatskom memorijalno-dokumentacijskom centru Domovinskog rata u Zagrebu Arh.vjesn.62 (2019), str.107-126 108 području sjeverne Dalmacije i južne Like od 1991.do 1992., za proučavanje izbijanja rata u Bosni i Hercegovini u proljeće 1992., kao i za razumijevanje uloge Jugoslavenske narodne armije u raspletu jugoslavenske krize.Ključne riječi: arhivsko gradivo
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.015 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.071 | 0.009 |
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".