Mobilidade intergeracional qualificada: uma abordagem de mensuração utilizando regressões quantílicas
Bibliographic record
Abstract
This study aims to empirically analyze the intergenerational income mobility in the light of this concept. For this, two empirical tests are performed with education of parents and children data in Canada and Brazil. The methodological procedure consists of: 1) estimate the relationship between the schooling of children and parents and 2) analyze the behavior of the error of the regression through the socioeconomic status of the parents; is expected to reduce the error variance for parents with more education. We opted also by the method of quantile regression, given the problem of identification of model, pointed out by Figueiredo, Lima e Schaur (2014), present in the estimations by least squares. The results showed that in Canada the education of parents has significant influence on the education of children. Furthermore, it was found that the qualified mobility is verified, since the error variance is negatively related to parents' education. The results for Brazil show increasing variance with the level of parental education, so that the intergenerational mobility did not correspond the characteristics of a qualified mobility.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".