Dealing with declining dominance: White identification and anti-immigrant hostility in the US
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasing diversity and the anticipation of its resulting cultural change is raising vociferous protestations among White Americans. Here, we explore moderation and mediation of its intergroup implications. Among a nationally representative sample of White Americans, Study 1 ( n = 2,257) revealed that living in a region that experienced a greater (vs. lesser) increase in racial diversity in recent years was associated with more anti-immigrant attitudes, but only among those who were highly White-identified. In an experiment, Study 2 ( n = 420, White Americans) revealed that collective nostalgia (i.e., longing for the ingroup’s past) mediated the relation between anticipated cultural change resulting from shifting demographics and anti-immigrant attitudes, but only for those who were highly White-identified. Thus, anti-immigrant sentiment among White Americans in response to changing demographics and culture is seen primarily among those personally invested in their White racial identity, an effect partly explained by a longing for bygone days.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it