Context and Ambiguity in the Making of Law: A Comment on Amending India's Patent Act
Bibliographic record
Abstract
In implementing its patent‐related obligations to the Agreement on Trade‐Related Aspects of Intellectual Property Rights (TRIPS), India opted for the optional additional transitional provisions in article 65.4. This, delayed the introduction of product patents in exempt technologies, notably pharmaceuticals, until 1 January 2005. Ostensibly, this gave India the opportunity to exploit changing circumstances to and emergent views on TRIPS implementation, in particular exploring new interpretations to residual flexibility in TRIPS and any continuing legal ambiguity in TRIPS obligations. Here, the Panel Report in Canada: Patent Protection of Pharmaceutical Products is pertinent in having exhibited rare reticence in stepping back from defining the principle of non‐discrimination in article 27.1 of TRIPS. In maintaining legal ambiguity, this reticence also provides space for law‐making and regulatory diversity. The article reviews the three amendments to India's Patent Act 1970 and finds mixed use of residual flexibility and some evidence of efforts to explore legal ambiguity. Thus, despite a favourable climate to TRIPS implementation and an active transnational access to medicine campaign, legislators in India have demonstrated a degree of caution. The article concludes that this caution is best explained in terms of deepening ambivalence concerning intellectual property within the government and the changing economic interests of sections of Indian pharma.
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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 | 0.022 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.037 | 0.025 |
| Scholarly communication | 0.023 | 0.011 |
| Open science | 0.011 | 0.008 |
| Research integrity | 0.085 | 0.081 |
| Insufficient payload (model declined to judge) | 0.004 | 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".