Intellectual Property Rights and Creative Economy; Way Forward for Pakistan
Bibliographic record
Abstract
This paper examines the relationship between enforcement of intellectual property rights and growth of the creative economy. Intellectual property based creative industries highly contribute towards national economy through trade, value addition, and tax revenues. Size of the global creative economy has almost doubled during 2015 leading it to the figure of $509 billion that was $205 billion during year 2002. It is worth noting that major player in global volume of creative economy are South Asian countries such as China, Hong Kong, Malaysia, India, and Taiwan. Major creative industries include software, pharmaceutical, music, cinema, fashion, design, art, culture, photography, publishing, and other related creative works. Creative industries need support of effective enforcement from intellectual property rights to pay incentive to a creator for its investment of expertise, labour, and finances. In absence of effective intellectual property enforcement and violation of intellectual property rights, innovation may go slow that affects growth of the creative economy. This research highlights potentials of growth of the creative economies in Pakistan in terms of intellectual property rights.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".