Zahra or Zoe, Arjun or Andrew? Bicultural baby names reflect identity and pragmatic concerns.
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
OBJECTIVES: Ethnic first names are a visible product of diversity in the West, yet little is known about the psychological factors that influence naming preferences and choices among bicultural individuals. METHOD: = 211) were parents of an Indian background living in three English speaking countries (Canada, United States, UK). They completed an online survey with measures of naming (consequences of ethnic naming, names as markers of cultural identity, actual naming choices) and psychological factors: heritage and mainstream cultural identifications, ethno-cultural continuity. RESULTS: Across all 3 studies we observed a strong preference for ethnic over mainstream names. In Studies 1a and 1b heritage acculturation and motivation for ethno-cultural continuity predicted stronger preference for ethnic names. In contrast, a preference for mainstream names was predicted by mainstream acculturation and expectations of negative consequences of ethnic names. In Study 2 choice of an ethnic name was positively related to beliefs about names as markers of ethnic identity, and negatively related to expectations of negative consequences of ethnic names. CONCLUSIONS: Baby naming among ethnic minorities is a complex cultural decision, reflecting both identity and pragmatic concerns. Implications for studies of acculturation and identity, and future research directions are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it