Graduation Profiles of Pedagogy Programmes According to the Current Educational Policies
Bibliographic record
Abstract
The research analyzes the graduate profiles of pedagogical careers belonging to the universities of the Valparaíso region, Chile. For this purpose, a metrically consistent instrument has been proposed and created, according to the main Education Policies of the country that is called as an integral profile, which includes aspects with which Chilean teachers are evaluated, plus indicators of inclusion and citizen education. These Policies are not always measured, that’s why universities give such importance to these three educational policies. For these reasons, the objective of this article is to analyze, based on quantitative techniques, the relation of similarity between graduation profiles and educational policies, contributing to empower the descended aspects and to visualize the importance that the universities grant to train students with an integral profile. The results of this research invite to promote the Educational Policies related to the exit profiles of the pedagogical careers, since having integral profiles contributes to form a model of teacher training for the country, especially in those with emerging economies, such as those of Latin America.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".