Analysis of trends in modern library and information infrastructure in the ongoing pandemics. (Review of international professional publications). (Part 2)
Bibliographic record
Abstract
The paper reviews some international online library and information professional publications including the websites of library associations, academic research charities and foundations and research groups. The paper is divided into the following sections: pandemics and open science; coronavirus and library materials and spaces; new impetus for digitization; copyright: latest news. These topics have not been predefined but taken shape as a result of analytical work and research in the body of professional publications. Analysis of leading library experts’ discussions in social networks has also helped to reveal current trends in library and information infrastructure development. COVID-19 pandemics brought about significant changes to the life and projects of the whole library and information space. A major step to open science has been taken when academic journal publishers, leading universities, research charities have taken responsibility to work in a collaborative manner and share coronavirus infection research data and results speedily and freely. Transition to digital collections in library holdings has accelerated, collections of e-books are growing, and the effect of prior digitization projects has manifested itself. The importance of libraries as a trustworthy source of information does not fade; caution is needed when using information from preprints published on preprint servers; the increasing need of informing digital materials users of attached copyright is highlighted.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.021 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".