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 There has been long‐standing debate among Western nations regarding the best approaches for the integration of immigrants into host societies. The core of this debate is between the proponents of assimilation and multiculturalism. Using a large sample of Canadians, we investigated the link between their sense of belonging to their ethno‐racial heritage (ethnic belonging) and to Canada (national belonging) in order to seek answers to the question of whether multiculturalism policies work to strengthen or weaken residents’ loyalty to the nation. Our analyses showed that increases in ethnic belonging significantly predicted increases in national belonging, both for ethno‐racial minorities and Whites, after controlling for demographic variables. These findings extend our understanding of acculturation and integration, provide empirical support for multiculturalism, and suggest that active support of immigrant and non‐immigrant individuals in maintaining connections to their ethno‐racial heritage increases individuals’ loyalty to the nation.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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