The Contribution of Postgraduation–Lato Sensu–At Distance for Training Health Field Professionals: A Case Study at a Brazilian Federal University
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
This article aimed to verify the opinions of health professionals who are looking for distance learning courses offered by distance learning. In order to do so, a case study was carried out in 2017 at the Federal University of Minas Gerais (UFMG), specifically in a course offered in the distance modality by the Nursing School: “Specialization Course Pedagogical Training in Professional Education in the Health Area : Nursing “(CEFPEPE). The data collection instrument was a questionnaire made available online for the former students who had taken the offered course. The results show the nurses' concern about their permanent and continuous training to better serve the population. It was also realized that distance education contributes to health in Brazil, allowing professionals who are far from the metropolis and / or who do not have time to attend in-class course to undertake training. In addition, having access to new knowledge might improve the professional performance.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 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) | 0.000 | 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