Successful yet Precarious: South Asian Muslim Americans, Islamophobia, and the Model Minority Myth
Bibliographic record
Abstract
Precariousness is the notion that unstable and temporary employment can induce feelings of vulnerability and insecurity. As a “successful” minority because of their high education levels and economic attainments, South Asian Americans can hardly be described as precarious. However, ethnographic observations reveal a collective precariousness felt by this group. Despite measures of success, their positionality as a racialized and stigmatized religious “Other” induces in them an insecurity akin to that felt by those un(der)employed. They fear that despite their achievements, they can be discriminated against in their workplace because of their race and religion. This anxiety influences their education and career choices, and political engagements. Theoretically, precariousness is largely conceptualized as a phenomenon contained within national borders. However, South Asian Muslim Americans’ precariousness is influenced by that of Muslims of other nationalities abroad, underscoring the transnational dimension of precariousness and how it can extend beyond immediate networks and physical borders.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".