Article 3 from Series of 5: Black-White Differences in Canadian Educational Attainments and Earnings
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Bibliographic record
Abstract
NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose.................................................................................................................................................................................................... Data from two large Canadian surveys are used to analyze educational and earnings performance of Blacks and Whites. The main purpose of this study is to determine how well blacks perform relative to Whites in these two areas. Background........................................................................................................................................................................................................ Canadian researchers have been studying black performance in education and labor markets since the 1970’s. Much of this research was done before 2000. It showed that there was considerable discrimination in the way Blacks were treated in the labor market but fewer problems concerning their success in the educational system. Since then more data has become available and it is possible to re-examine this issue and explore new dimensions of black economic performance. Methodology..................................................................................................................................................................................................... Educational outcomes are categorical and are analyzed by ordered Beta probability models. Earnings functions are estimated by mixed linear regression models where the mixing procedure is used to account for unobserved differences in respondent ability. Contribution....................................................................................................................................................................................................... Our results update and expand what was known before 2016 using the most resent Canadian Census and Youth Smoking Survey of which the latter contains academic performance information for students in primary and secondary school. Findings.............................................................................................................................................................................................................. The main results show that while Black males are able to access the educational system without much racial prejudice, they are not treated fairly in the labor market. Black females do less well in both the educational system and labor markets. Blacks earn significantly less than Whites for all age groups, all levels of education, and in all occupations. They are more likely to be less than fully employed and more likely to be at the bottom of the income distribution. These findings are consistent with earlier studies but the amount of discrimination is larger and black/white earnings differentials are larger than those found by researchers using earlier surveys. Recommendation for Practitioners .................................................................................................................................................................. These results are disturbing and the persistence over long periods of time suggests that some form of expanded government intervention is needed. Recommendations for Researchers................................................................................................................................................................. The surveys used here provide inadequate information on the process of discrimination. More and better data is needed to understand why, for example, black students do less well than their white counterparts in primary and secondary school and yet overcome these problems in tertiary education. Impact on Society.............................................................................................................................................................................................. Discrimination of any sort is costly to the victims but is also detrimental to society as a whole since it represents a failure our institutions to deliver a fair and just society for all groups regardless of race or ethnicity. We hope our results will draw attention to the need to address this problem.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it