Educação básica e pandemia. Um estudo sobre as perceções dos professores na realidade portuguesa
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
Starting from the political options in education in Ibero-America, this article focuses on the analysis of measures taken in Portugal in order to respond to the evolution of the Covid-19 pandemic. From the theoretical-conceptual analysis we highlight the systematic use of online education and the effects that accentuate an educational reality discernable by inequality and exclusion. Based on quantitative empirical study, of quantitative, through the implementation of a questionnaire to teachers of basic education (n=280), data characterizing two distinct phases are presented: the closure of schools with the emergence of the pandemic; the return to face-to-face teaching, from the moment when the pandemic was already under control. The empirical data show that teachers emphasize that online learning leads to inequalities among students and contributes to reduced learning, and that teachers have embraced the innovative measures introduced by digital technologies. Teachers reveal a certain skepticism regarding the social valorization of the teaching profession and the school. As a challenge for the post-Covid-19 curriculum, the importance of education for citizenship, organized in the school according to the search for answers to global and local problems, is highlighted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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