Copyright as a professional competence for the reference librarian
Bibliographic record
Abstract
It discusses copyright as a necessary competence for the academic reference librarian in order to provide guidance on issues related to the ethical and legal use of information. It reviews the topics of “academic library”, “reference service” and “copyright” in relation to the current competencies of reference librarians in academic libraries. Using the Academic Ranking of World Universities (ARWU), we identified a sample of copyright offices that represent this new perspective for the reference librarian and analyzed their websites in order to identify current and emerging issues that can be important for the implementation of these services in Brazil and elsewhere. These issues are also considered key competencies related to the service that academic library and reference librarian provide to the community in relation to copyright. We conclude that, based on the analysis of the services and competences that are present in the international libraries, the curricula of the Library and Information Science programs, at least in Brazil, need to be revised in order to address these competences related to copyright and correspondently adjust the education and training of the reference librarians.
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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 | 0.021 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.029 | 0.017 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 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".