Copyright literacy and LIS education: analysis of its inclusion in the curricula of master's degree programs
Bibliographic record
Abstract
The close relationship between copyright laws and the development of library activities has become more intense and complex in recent years due to the impact of the digital setting. For this reason, librarians must have adequate knowledge about copyright, whether it be to carry out their own functions and tasks, or to help co-workers and users as efficiently as possible. The aim of the present paper is to determine the type of copyright instruction offered, plus its focus and depth, to students of master's programs in library and information studies at today's outstanding universities in this field. The results show that very few LIS programs provide the minimal training required for professionals to be copyright literate. Very few courses are dedicated specifically to copyright issues, as these subjects are usually studied in an excessively generic and superficial manner within broader courses dedicated to information policy, information ethics, or legal issues regarding information. If we also bear in mind that most of these courses are elective, not required, the conclusion is that very few LIS graduates attain the minimal instruction required. The best results are obtained by US and Canadian universities accredited by the American Library Association (ALA), since copyright issues are included in the list of core competences required to achieve accreditation. The solution to this problem may lie in two complementary approaches. One would be to follow the ALA model and the IFLA recommendation and include copyright contents in the LIS curricula worldwide, and the other would be to provide institutional support for those professionals interested in obtaining the required training.
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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 | 0.003 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".