Bibliographic record
Abstract
At a time when Canadian governments are encouraging the dispersion of immigrants throughout the provinces in an attempt to reduce clustering in large metropolitan areas, studies of immigration outside urban centres are rare - and studies of immigrant youth even rarer. In Getting Used to the Quiet , Stacey Wilson-Forsberg looks at the integration experiences of immigrant adolescents in one small city and one rural town in New Brunswick's St John River Valley where the youths find no earlier immigrant communities with shared cultural backgrounds. Emphasizing themes including social capital, social networks, and citizen engagement, Wilson-Forsberg highlights the teens' gradual involvement in their new communities as they confront the challenges of dealing with an unfamiliar environment, learning a new language, and reaching out to their New Brunswick-born peers. In-depth interviews with over thirty teens give readers new insights into the integration process. Focusing on a crucial and underexplored area of immigration studies, Getting Used to the Quiet is a valuable resource for understanding the ways in which newcomers join unfamiliar communities and how the communities, in turn, respond to their presence.
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.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".