Principled Exclusion: A Revised Approach to Article 1(F)(a) of the Refugee Convention
Bibliographic record
Abstract
The focus of this contribution is Article 1(F)(a), a section of the exclusion clause that has increased in both use and profile in recent years. Article 1(F)(a) applies to individuals who may be implicated in crimes against peace (more commonly known today as crimes of aggression), war crimes, or crimes against humanity as such crimes are defined in relevant international instruments. Where a decision maker finds that “there are serious reasons for considering that” an asylum seeker has committed one of these acts, the remainder of the Refugee Convention does not apply, and any protections to which the claimant would otherwise be entitled are consequently unavailable. Article 1(F)(a) is a particularly important part of the exclusion clause because it applies to those who have committed acts so wrongful that the international community has agreed to standards of universal applicability. It is a provision committed to ensuring that perpetrators of the worst international crimes do not subsequently benefit from the robust international protections available to refugees. The 2013 Michigan Colloquium on Challenges in International Refugee Law brought together experts committed to articulating a principled approach to exclusion under Article 1(F)(a). This paper was drafted as the background study for that meeting and was designed to provide general principles for study and debate. In particular, the paper calls for a revised paradigm for determining when an asylum seeker ought to be denied protection on the basis that he or she is individually responsible for the international crimes listed in Article 1(F)(a).
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 | 0.070 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.053 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.008 | 0.011 |
| Research integrity | 0.019 | 0.035 |
| Insufficient payload (model declined to judge) | 0.003 | 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".