Young People in Newfoundland and Labrador: Community Connectedness and Opportunities for Social Inclusion
Bibliographic record
Abstract
Globally, young people are a major demographic group and a key constituency in socioeconomic policy considerations. However, in a neoliberal era, the social inclusion of youth is in jeopardy. This qualitative study explored young people’s connectedness to community and opportunities for social inclusion in Newfoundland and Labrador. The perspectives of social capital, social exclusion, and sense of community provided a theoretical framework for the study. A purposive sample of 23 youth aged 15 to 24 years provided data through interviews, which we analyzed inductively, using thematic analysis. We found that young people connected to their communities through informal associations and non-profit organizations. These structures provided networks of supportive relationships and inclusive spaces, where young people felt a sense of belonging, and had opportunities for participation. Opportunities took the form of resources and activities that promoted personal growth and community building. For example, through associations and non-profit organizations, participants engaged in general educational development, entrepreneurial training, part-time and volunteer work, and advocacy. However, participants also reported some barriers to inclusion in their communities. Personal level factors, such as illness and environmental level factors, such as low-income and social stigma were barriers to inclusion. These findings provide a basis for policymakers and practitioners to promote youth social inclusion in Newfoundland and Labrador.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 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) | 0.004 | 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".