Corporate Social Responsibility in Pakistan: A Legal Perspective with Reference to MNEs
Bibliographic record
Abstract
It is no secret that many multinational enterprises have annual revenues higher than that of the GDP of a significant number of less developed countries put together. This fact puts them in a position not only to influence the host country's policies and but also lives of the people. With the rise of Multi-National Enterprises and foreign investments, the concept of Corporate Social Responsibility, theoretically a self-regulatory mechanism to ensure the active participation of corporations for betterment of society in general, has gained importance in International Law. Given the fact that a huge capital is flowing in Pakistan, it is significant to understand and evaluate the extent to which the principles of CSR are being followed in Pakistan, with a special reference to foreign investment. High ratio of Foreign Direct Investment to the annual budget of Pakistan in recent years coupled with the fact that CSR is still relatively a new concept in Pakistan amplifies the importance of CSR in Pakistan in relation to Foreign Investments. Since CSR, as per OECD guidelines, requires the international corporations to take certain measures to ensure the betterment of the locality and community, the research shall attempt to find out whether the foreign companies working in Pakistan are complying with the norms of CSR and if they do, to what extent those principles are being followed. To do that, we shall try to understand the concept of CSR, to trace down its origins, and to study its elements and key drivers. Moreover, the impacts of compliance of CSR especially on the people, environment and goals of sustainable development shall also be taken into account. The study shall try to search relevant laws, rules, regulations and guidelines, both in international and domestic legal skeletons, which emphasize the significance of CSR and its implementation. We shall try to find out whether any legal recourse or remedies are available to the people and the State of Pakistan in case foreign MNEs do not implement the CSR regulations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".