The Emerging Importance of "Social Visibility" in Defining a "Particular Social Group" and Its Potential Impact on Asylum Claims Related to Sexual Orientation and Gender
Bibliographic record
Abstract
An emerging issue in U.S. asylum claims based on "membership in a particular social group" is the relevance of social visibility in determining whether such a group exists. Of the five protected grounds for asylum, "membership in a particular social group" has always generated the most debate. In 2002, the United Nations High Commissioner for Refugees (UNHCR) issued guidelines that present the "protected characteristic" and "social perception" approaches as alternative ways of establishing a particular social group, instructing States Parties to the 1951 Refugee Convention (the "Convention") to determine first if there is a protected characteristic and, only if no such characteristic exists, to determine whether the group is recognized by society. The author argues that adjudicators should reject the "social visibility" approach because it destroys Acosta's principled framework, represents an abdication of U.S. obligations under the 1967 Protocol, cannot be applied in a consistent way, and ignores the complex relationship between visibility and power.
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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.037 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".