Читання як основа освіти дорослих в умовах бібліотек
Bibliographic record
Abstract
The article discusses the results of research on the problem of reading adults in the conditions of libraries and analyzed the concepts of “reading. It is noted that each reader has the right to their own opinion in the perception of the work. Based on the works of M. Rubakin, reading problems in the 20s of the 20th century are revealed. In particular, the essence and practical significance of the reader’s bibliological theory by M. Rubakin are analyzed. Based on the analysis of this theory, it is concluded that the search for literature for an adult reader depends on the psychological type of an adult. The author reviewed foreign modern experimental studies of American and Canadian scientists on the perception of text by adults. It is proved that modern scientific research involves understanding adults reading as a process of communication between the reader and the author. The attention is focused on the fact that in order to comprehend the text, an adult reader needs to understand the text and its emotional perception. The author notes that reading can provide an extension of a person’s worldview, increase a person’s ability to understand and empathize with others. It is concluded that reading adults is a means of forming the personality of an adult person, his professional training and qualifications.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".