Post-Secondary Education Drivers, 2004 [Canada]
Bibliographic record
Abstract
The Post-Secondary Education: Cultural, Scholastic and Economic Drivers project was a parental survey conducted by COMPAS Research Inc. for the Canada Millennium Scholarship Foundation. A national, representative sample of 1,000 parents with at least one child aged 12-17 was interviewed in November 2003. The purpose of the project was to provide the Foundation with a better understanding of how families perceive and prepare for the postsecondary education options of their children. In this report, COMPAS reports relationships that are valid in a statistically significant sense. Unless the report specifically says that a relationship or difference is nominal or suggestive rather than statistically significant, any observation of a relationship can be assumed to meet the requirements of statistical significance. For example, COMPAS tested each demographic variable against all perceptual questions. Where no significant relationships or patterns were found, results of the correlations are not reported. This data may be used for personal, academic research or teaching purposes only. If the use of this data is for other purposes, please contact Data Services.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.021 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.030 |
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".