Decolonizing International Law: The Impact of Postcolonial Theory on Legal Norm Formation
Bibliographic record
Abstract
This article investigates how postcolonial theory has influenced the formation of legal norms in international law and examines the implications of these theoretical contributions for the legitimacy, inclusivity, and epistemic foundations of global legal governance. Using a scientific narrative review and descriptive analysis method, this study synthesizes academic literature published between 2019 and 2024. Peer-reviewed journal articles, scholarly books, and legal commentaries were selected through systematic searches across major academic databases. The analysis is guided by key postcolonial concepts such as subalternity, hybridity, and epistemic violence, with thematic attention to international law’s colonial legacy and contemporary challenges in legal norm formation. The review reveals that international law continues to reflect Eurocentric assumptions rooted in its colonial past. Postcolonial theory challenges these assumptions by exposing structural inequalities in the development and enforcement of legal norms. Case studies such as the New International Economic Order, the Declaration on the Right to Development, and the international recognition of Indigenous rights illustrate how postcolonial actors have shaped normative agendas despite institutional limitations. The analysis also identifies growing demands for epistemic decolonization, South-South legal solidarities, and pluralistic models of norm-building. Postcolonial theory has significantly reshaped the discourse of international law by foregrounding issues of power, voice, and legitimacy. While challenges remain in translating critique into enforceable legal change, the theoretical and normative contributions of postcolonial scholarship have created critical openings for a more inclusive and equitable global legal order.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.045 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.007 | 0.065 |
| Scholarly communication | 0.020 | 0.024 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".