Бібліотечно-інформаційне обслуговування національних меншин та корінних народів України в умовах викликів сучасності
Bibliographic record
Abstract
The objective of the proposed study is to highlight the issue of equal access to library and information services for national minorities and indigenous peoples of Ukraine in the context of countering the threats faced by the world in the first quarter of the 21st century. Methods. Methodologically, the article is based on the correlation of the concepts of power and culture, which in our case are represented by libraries and ethnic communities, respectively. Results. Based on the analysis of reporting materials and the content of the websites of Ukrainian library institutions, a number of successful approaches to the integration of national minorities and indigenous peoples into the library space were identified. However, in the vast majority of cases, there is a tendency towards declarativity and symptomatism in the implementation of IFLA guidelines aimed at achieving equality in the library and information sphere. The final part of the article and conclusions propose the development and implementation of a roadmap aimed at reducing the striking imbalance in access to library services for national minorities and indigenous peoples.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".