Impact of Emotional Style on Academic Goals in Pandemic Times
Why this work is in the frame
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Bibliographic record
Abstract
The objective of the present study was to determine the incidence of university students’ emotional style on the dimensions of academic goals (academic goals, learning goals, achievement goals and social reinforcement goals). For this study, 780 students of the fifth and sixth cycle of the Health Sciences School at a private university in Lima were chosen.In this quantitative study, of a substantive type, and a causal correlational cross-sectional non-experimental design, The Emotional Style Questionnaire (ESQ) was administered and for academic goals the questionnaire of the same name (CMA). The results evidenced the significant incidence of emotional style in the academic goals of university students with 72.1%; because the reason of plausibility of the logistic model (p<0.05) fits well with the data (Deviation with p<0.05).
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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) | 0.002 | 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 it