University for All Programs (ProUni): Engagement, Satisfaction, and Employability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A training at Higher Education level needs, in addition to improve the skills specific in the area chosen, to develop a set of skills and/or personal attributes that make him or her more likely to succeed in the profession. In this context, this paper was developed and has the objective to identify the relationships between engagement, satisfaction, and employability of students who completed the university as University for All Program (ProUni) scholarship. This target group of students was chosen because of the importance of ProUni for the Advancement of Education policies of affirmative actions in Brazil. The ProUni gives scholarships to students from minority (underrepresented) groups to study at private universities, through the National Secondary Education Exam – ENEM (Brasil, 2005). Among these groups are students who attend public high schools (a proxy for lower social class), low-income students, African Brazilian students, Indigenous Brazilian students, students with disabilities, and not graduated teachers that work in public elementary and secondary schools. The research involved 198 ProUni graduates invited to answer an online questionnaire. There were 134 respondents, 123 (91.8%) were working since we were interested in employment, only these participants were included in the analysis. The results suggest that employability consolidates and reflects in the conquest of labor activity, as well as in graduate satisfaction with their training and job. These results are indicative of the engagement of the student with their learning, therefore with their graduate degree.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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