Young Adult Social Networks and Labour Market Attachment: Interpersonal Dynamics that Shape Perspectives on Job Attainment
Bibliographic record
Abstract
Abstract Following a qualitative study design with young adults (aged seventeen to twenty-nine) of a racialised minority status (n= 36) in a low-income community in Toronto, Canada, we found that social relationships and dynamics greatly influenced perspectives towards labour market success. Respondents identified that interpersonal relationships with employers, family members and neighbourhood/community members influenced their perseverance and motivation for upward social mobility through securing and maintaining employment. The findings highlight the fundamental relationship between perceptions of upward social mobility and individual social capital. In particular, the wide array of social networks that can influence the perspectives of racial minority young adults – both positively and negatively. The findings extend contemporary discussions about the relationship between social capital and career aspirations among racial minority young adults, to include a spectrum of interrelated social networks that collectively aid in improving personal development. While contemporary discussions focus on the utility of informal knowledge sharing about career development and post-secondary attainment, the findings here demonstrate the importance of policy and programme solutions that support the mobilisation of a wider array of embedded social resources, within the social networks of racial minority young adults, that help support positive perceptions towards upward social mobility.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".