La organización escolar y los límites de la mediación de los inspectores en los institutos de secundaria
Bibliographic record
Abstract
We are reporting on a recent experience with Health Informatics (HI) teaching at undergraduate degree level to an audience of HI and Pharmacy students. The important insight is that effective teaching of clinical informatics must involve highly interactive, applied components in addition to the traditional theoretical material. This is in agreement with general literature underlining the importance of simulations and role playing in teaching and is well supported by our student evaluation results. However, the viability and sustainability of such approaches to teaching hinges on significant course preparation efforts. These efforts consist of time-consuming investigations of informatics technologies, applications and systems followed by the implementation of workable solutions to a wide range of technical problems. In effect, this approach to course development is an involved process that relies on a special form of applied research whose technical complexity could explain the dearth of published reports on similar approaches in HI education. Despite its difficulties, we argue that this approach can be used to set a baseline for clinical informatics training at undergraduate level and that its implications for HI education in Canada are of importance.
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.
How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".