Geography and segmented assimilation: examples from the New York Chinese
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
Abstract Drawing upon the segmented assimilation framework, and using the 1990 5% PUMS file, the paper compares the assimilation of selected Chinese immigrant cohorts, based upon age and period of entry. Including a spatial component within the framework, we examine whether differences in the organisation and assimilation of immigrant groups exist across space. For each cohort, contrasts are made with reference to location in the New York Consolidated Metropolitan Statistical Area (CMSA), with the analysis focusing upon differences in spatial assimilation with respect to acculturation, socioeconomic characteristics, internal migration, and immigrant characteristics relative to other immigrant and native‐born groups. The analysis is updated using Immigration and Naturalization Service (INS) data files from the 1990s. Results suggest that space, and location in space, alter the assimilation trajectory of similarly defined groups. Copyright © 2004 John Wiley & Sons, Ltd.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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