Generic Competences in Peruvian University Students
Bibliographic record
Abstract
In higher education, generic competencies are those common to most students that can be used in the activities of a sector or organization. The objective was to identify generic competencies in Peruvian university students. The study was a descriptive, non-experimental cross-sectional design. The sample consisted of 567 university students of both sexes from public and private universities in Peru. The instrument applied was the questionnaire of generic competencies of university students (CCGEU). The results showed that Peruvian university students have a sufficient level of generic competencies; they use generic competencies almost always or always in the development of their activities. Likewise, in the dimensions, systemic competencies have the highest value, followed by interpersonal and instrumental competencies. It is concluded that most Peruvian university students use generic competencies at a sufficient level; however, some students never or almost never use them, so it would be important for the Peruvian university institutions where the participants study to implement strategies to strengthen generic competencies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".