Bibliographic record
Abstract
The purpose of the article is to explore the content, functions, model of Internet communication based on social networks, the main directions and prospects of relevant archival practices in Ukraine. The research methodology is based on modern basic scientifi c approaches of interdisciplinary, sociocommunicative, system content and a set of general scientifi c methods, including methods of deduction, induction, modelling, abstraction, structural-system analysis, synthesis, comparative studies, etc. The general tendencies of development of network communication are investigated, its features, functions, role of social networks in a life of professional corporation, establishments on an example of profi les of archival institutions of Ukraine and abroad are defi ned, their content is analyzed, strong and weak points are pointed out, other kinds of application of information and communication technologies are offered in order to modernize the archival industry. At the same time, they used comparative, generalizing, structuralsystem methods. The object-subject sphere of research led to the application of a socio-communicative approach, which made it possible to present the archive as a complex information system. The scientifi c novelty of the study lies in the actualization of the latest trend in archival practice – communication based on social networks. Priority social networks have been identifi ed, the content of profi les has been analyzed, quantitative indicators of user audiences of accounts of archival institutions of Ukraine and foreign countries have been compared, the main types and forms of work of managers with visitors, readers of personal records have been clarifi ed. Conclusions. By «network communication» we mean a hub of data translators through Internet channels, which are characterized by high capabilities of information fl ows and the ability to accumulate huge amounts of information and its intensive exchange for the widest audience of users united by the communication platform. The main functions of network communication are information and communication. Its specifi city is the ability of the recipient to be at the same time a communicator. An important role in network communication belongs to the manager of social networks and the result is determined by the correct targeting of the audience, successful contact with users and the content that should be useful and interesting for them. Advertising, public relations, branding, crowdsourcing, crowdfunding, and other marketing technologies can become a priority for archival institutions in the areas of communication mediated by social networks. 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Sankt-Peterburg. [in Russian].5. Bezdrabko, V. V. (2018). Zarubizhnyi dosvid arkhivatsii elektronnykh dokumentiv: e-poshta ta tvity [Foreign experience of archiving electronic documents: e-mail and tweets]. Sumska starovyna, LII, 80–89. [in Ukrainian].6. Bezdrabko, V. V. (2019). Arkhiv, arkhivist, arkhivna kultura: ideia, metafora, postannia maibutnoho obrazu [Archives, archivist, archival culture: idea, metaphor, emergence of the future image]. Arkhivy Ukrainy, 2, 42–46. [in Ukrainian]. https://doi.org/10.47315/archives2019.319.0427. Boduan, Zh.-P. (2001). Upravleniem imidzhem kompanii. Pablik rileishnz: Predmet i masterstvo [Management of the company's image. Public relations: subject and craftsmanship]. Moskva. [in Russian].8. Dodoț, О. (2014). Utilizarea aplicației Oracle Siebel CRM la nivelul Biroului Relații cu Publicul din cadrul Serviciului Arhive Naționale Istorice Centrale National archives of Romania [Implementing the Oracle Siebel CRM application at the level of the Public Relations Office within the Central National Historical Archives Service of the National Archives of Romania]. Revista arhivelor = Archives review, 1/2, 22–27. [in Romanian].9. Facebook – naipopuliarnisha sotsmerezha ukraintsiv, za neiu idut Instagram i Telegram [Facebook is the most popular social network with Ukrainians, followed by Instagram and Telegram]. Retrieved from: https://ms.detector.media/sotsmerezhi/post/25606/2020-09-29-facebook-naypopulyarnisha-sotsmerezha-ukraintsiv-za-neyu-ydut-instagram-i-telegram-doslidzhennya/ [in Ukrainian]. 10. Hau, Dzh. (2012). Kraudsorsing: kollektivny razum kak instrument razvitiya biznesa [Crowdsourcing: the collective mind as a tool for business development]. Moskva. [in Russian].11. Kaplan A. M. & Haenlein М. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68. [in English]. https://doi.org/10.1016/j.bushor.2009.09.00312. Kutirev, V. A. (2009). Chelovecheskoe i inoe: borba mirov [Human and other: the struggle of the worlds]. Sankt-Peterburg. [in Russian].13. Kyselova, A. A. (2005). Arkhivni resursy Ukrainy v hlobalnii informatsiinii merezhi: vydy, dostup, perspektyvy [Ukrainian archival resources in the global information network: types, access, prospects] [Extended abstract of Candidate’s thesis]. Kyiv. [in Ukrainian].14. Levchuk, O. V. (2021) Sotsialni merezhi yak instrument realizatsii informatsiino-komunikatsiinykh ta imidzhevykh stratehii suchasnoho arkhivu: vyklyky ta perspektyvy [Social networks as a tool for implementing information and communication as well as image strategies of modern archives: challenges and prospects]. In Arkhivistyka: teoriia, metodyka, praktyka. Kamianets-Podilskyi. [in Ukrainian].15. Maizhe 23 mln ukraintsiv rehuliarno korystuiutsia Internetom [Almost 23 million Ukrainians regularly use the Internet]. Retrieved from: https://mind.ua/news/20204323-majzhe-23-mln-ukrayinciv-regulyarno-koristuyutsya-internetom-doslidzhennya [in Ukrainian].16. Marketingovie kommunikacii v socialnih setyah [Marketing communications in social networks]. Retrieved from: http://smm.ingate.ru/ [in Russian].17. Morgunov, A. A. (2013). Homo informaticus kak evristicheskaya model [Homo informaticus as a heuristic model]. Vestnik SamGU. Seriya Ekonomika i upravlenie, 1(102), 157–163. [in Russian].18. Na sotsialni merezhi ukraintsi vytrachaiut u 8 raziv bilshe chasu, nizh na bih [Ukrainians spend 8 times more time on social networks than on running]. Retrieved from: https://ms.detector.media/sotsmerezhi/post/25368/2020-08-28-na-sotsialni-merezhi-ukraintsi-vytrachayut-u-8-raziv-bilshe-chasu-nizh-na-big-doslidzhennya/ [in Ukrainian]. 19. Naselennia Ukrainy. Chyselnist naselennia Ukrainy v 2021 r. [The population of Ukraine. The number of people in Ukraine in 2021]. Retrieved from: https://index.minfin.com.ua/ua/reference/people/ [in Ukrainian].20. National archives of Romania. Retrieved from: http://arhivelenationale.ro/site/en/public-services/ [in English].21. Paliienko, M. (2016). Obraz arkhivu v suchasnomu naukovomu dyskursi: mnozhynnist interpretatsii [The image of archives in modern scientific discourse: the multiplicity of interpretations]. Arkhivy Ukrainy, 5/6, 136–152. [in Ukrainian].22. Pro nadannia informatsii dlia rozmishchennia v sotsialnykh merezhakh: lyst Derzhavnoi arkhivnoi sluzhby Ukrainy kerivnykam derzhavnykh arkhivnykh ustanov vid 05.02.2021 № 710/4.02-11/0 (kopiia) [About providing information for posting on social networks: the letter of the State Archival Service of Ukraine to the heads of archival institutions dated 05.02.2021 № 710/4.02-11/0 (a copy)]. [in Ukrainian].23. Ruie, A. (2014). Fotografiya. Mezhdu dokumentom i sovremennim iskusstvom [The photo. Between the document and contemporary art]. Sankt-Peterburg. [in Russian].24. Shilina, M. G. (2012). Tekstogennie transformacii infosferi [Textogenic transformations of the infosphere]. Moskva. [in Russian].25. Stratehiia rozvytku arkhivnoi spravy do 2025 roku [The strategy for the development of archives until 2025]. Retrieved from: https://cutt.ly/VnJSbp8 [in Ukrainian].26. Vidbulas komunikatsiina videokonferentsiia dlia arkhivnykh ustanov [A video communication conference for archival institutions took place]. Retrieved from: https://archives.gov.ua/?p=18231[in Ukrainian].27. Vintoniv, Kh. M. (2014). Ukrainski dokumentalno-informatsiini resursy u virtualnomu seredovyshchi Kanady: struktura, informatsiine napovnennia ta metodyka poshuku [Ukrainian documentary and information resources in the virtual environment of Canada: structure, information content and search methods] (Extended abstract of Candidate’s thesis). Kyiv. [in Ukrainian].28. Zhiying, L. (2017). A history of archival ideas and practice in China. Research in the archival multiverse. Clayton. [in English].
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".