Building Futures: Career and Community Development in Small New Brunswick Towns
Bibliographic record
Abstract
Communities in New Brunswick are facing the reality of shrinking populations and outward migration. As post-industrial economies develop in Canada, a clear shift in geography is taking place: young people are leaving small communities in New Brunswick to live in larger urban centres. This study of two secondary schools explores the possibilities for career development and community sustainability in this environment. The two communities examined in the study differ in their geography. Bathurst is in the economically depressed north of New Brunswick, while Sackville is in the expanding southern region near Moncton. Sackville also has a clear connection to knowledge work, as it is a university town. This study examines how youth in New Brunswick navigate their career development with respect to their family and community and asks whether knowledge/creative work can help to sustain small Maritime communities. The findings, based on interviews with teachers and focus groups with students, indicate that young people have a clear desire to stay in the province; however, students and teachers also realize that the possibilities for career development in their respective communities are limited and the reality of outward migration looms in the future for many young people.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".