Modelo predictivo en comprensión de lectura impresa y digital en estudiantes universitarios
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
Introduction: Reading comprehension (CL) is complex and in its process, faculties related to perception, motivation, attention, and interpretation are involved. Our goal was to design a predictive model in understanding printed and digital reading, based on the Theory of the six readings, in students from the universities of Manizales, Colombia and Kharkiv, Ukraine. Methods: During a period of 6 weeks, 70 students participated: Colombians (n=40) and Ukrainians (n=30), in which intervention was generated with the "six reading theory" course together with cognitive evaluation with the MoCA Test (Montreal Cognitive Assessment) instrument. Data were analyzed by descriptive statistics for categorical and numerical variables, multivariate analysis and prediction by multinomial regression techniques. Results: The intervention group that received training in the Theory of Six Readings generated better overall results in reading comprehension, a situation that correlated with the predictive model (r2=0.67; global classification index = 0.76). Conclusion: Implementing a print and digital reading program based on the theory of the six readings can allow the optimization of reading proficiency in public and private universities.
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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 | 0.001 |
| 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 | 0.001 |
| 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