Seeking stability: a preliminary exploration of Canadian young adults’ financial goals
Bibliographic record
Abstract
Young people’s financial lives have undergone change, with delays and struggles attaining stable employment, home ownership, and financial independence. Despite such change, research on the future thinking of young adults suggests the persistent significance of such financial milestones. We conducted semi-structured interviews with 36 young adults aged 18–32 in a mid-sized, prosperous Canadian city, inquiring into their goals and perceptions of their future financial lives in light of their current situations. Findings revealed young adults’ overarching desire for financial security, notably through goals of a steady job, debt reduction, and home ownership. These findings affirm that during this transitional time of life, many young adults are involved in a search for security, hoping to attain financial independence and stability in a conventionally linear and upward fashion. This search for security and stability manifests differently across sociodemographic positions (namely age, gender, birthplace, and socioeconomic status), reflecting differing experiences of precarity, cultural representations of the life course, and positions along financial trajectories. Participants’ visions of their financial futures also appear to connect to factors in the local context, including its relative prosperity, persistence of traditional gender roles, and a relatively modest cost of living compared to other urban centres in Canada.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".