Open innovation framework for the exploitation of orphan works in cultural and memory institutions in Malaysia / Muhamad Helmi Muhamad Khair
Bibliographic record
Abstract
Orphan works are copyright-protected works whose copyright holders cannot be identified or located by good-faith users. Mass digitisation activities and the creation of derivative works are impeded due to the difficulties or impossibility to obtain the necessary permission from the copyright holders. The existing Malaysian copyright law is inadequate in enabling access to and the exploitation of orphan works originating from this country. This situation has resulted in orphan works, including those deposited into the cultural memory institutions in Malaysia, being left idle and unable to be exploited by public members. The absence of an open and permissive licensing regime for the exploitation of orphan works has stifled creativity and grassroots innovations among the Malaysian public. Therefore, this thesis aims to develop an Open Innovation framework for the exploitation of orphan works in Malaysia. Since its inception, the application of Open Innovation in the context of copyright works has never been studied, motivating the researcher to explore its suitability for the exploitation of orphan works. This thesis posits that through adaptation of inbound and outbound Open Innovation strategies, it will spur the exploitation of orphan works for public goods through idea pitching, licensing, collaborative projects, and knowledge transfer activities. This thesis employed a combination of doctrinal, fieldwork, and library-based research. The thesis explored various theories that support the exploitation of orphan works through Open Innovation. It also compared the policies and laws in the European Union, the United Kingdom, Canada, and India to determine the extent of adaption of Open Innovation for the exploitation of orphan works. The comparative analysis found that most jurisdictions have adopted Open Innovation strategies through open and permissive licensing orphan works. Semi-structured interviews were conducted with ten respondents from the Malaysian Intellectual Property Office and the national cultural, heritage, and memory institutions for the purpose of developing the most appropriate Open Innovation model for the exploitation of orphan works in Malaysia. Based on the feedback from the respondents, an Open Innovation model comprising of policy, and substantive and procedural laws have been proposed in this thesis. It is anticipated that the proposed Open Innovation framework will provide policy and legal incentives for the exploitation of orphan works under the Malaysian copyright law.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".