Multiethnic neighbourhoods as sites of social capital formation
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
In an idealdemocratic society, publicly funded schools serve many purposes. Aside from its educational mandate, schools are places for neighbourhood integration, social capital formation and the fostering of civil society. For newly arrived immigrants, especially those with young children, schools are important sites of settlement experiences. During the past near decade, however, rapid restructuring of the public education system in Ontario has led to many changes in these ideals. Within the landscape of this wider transformation, this article critically explores how different forms of social capital are produced in schools and accessed by recent immigrants. Based on a spatial-network framework developed earlier this article examines not only how immigrants participate in the daily life of their local institutions; but whether these links are powerful enough to translate into purposeful political effects as well. The outcomes that arise from this neighbourhood-based exercise are crucial in reflecting on a larger ethical question – how do states determine who is and who is not entitled to membership in society?
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