Financial Planning for Postsecondary Education in Canada: A Comparison of Savings and Savings Instruments Employed Across Aspiration Groups
Bibliographic record
Abstract
Canadians have experienced a reduction in government funding toward postsecondary education over the past ten years, as well as a shift in student-support policies. Historically, paying the costs of postsecondary education in Canada has been a responsibility shared by the state, and students and parents. Changes in government policy have forced families to assume a greater share of their children’s postsecondary costs and have required a shift in their educational planning priorities. There is a corresponding need on the part of policy researchers to better understand this reorientation. The purpose of this paper is to document how parents save for higher education in relation to the educational aspirations they hold for their children (i.e., community college, trade school, or university). The analysis compares the effect of selected sociodemographic factors on parents’ savings and use of savings instruments across community college, trade school, and university aspiration categories.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".