The Quality of Education at a Key Factor of the Population’s Living Standards (Exemplified by the Statistical Analysis of the Canadian Education System)
Bibliographic record
Abstract
The Object of the Study. Canadian system of education The Subject of the Study. Conditions and factors of post-secondary education in Canada, its impact on the individual students ' educational and professional pathways, their academic success and educational attainment as a basis for achieving the desired quality of lifeThe Purpose of the Study is analyzing longitudinal experiments data carried out by Canadian researchers to identify the interrelation of the living standard and educational trajectories developed by graduates of different school types, as well as the data placed on the Longitudinal platform of education and labour market and the official website of the Canadian national statistical agency reflecting the socioeconomic situation of different groups of young people in Canada, their success in the given educational and professional environment.The Basiс Theoretical and Empirical Aspects of the Article: The article offers an analysis of a number of statistical longitudinal observations carried out by Canadian researchers on the situation of the country`s educational system, the impact of education in private schools on the Canadian youth’s further academic achievements and professional success in comparison with the situation in public schools, in particular; on the role of the educational level of students’ parents as a factor determining a subsequent professional success of the young Canadian generation; the actual financial conditions of the Canadian higher education ,and the current dependence of a young professional’s living standards on a specific educational area.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".