[Internal Medicine in the curriculum of General Medicine at Universities of Mexico, 2014].
Bibliographic record
Abstract
The aim of this study was to analyze Internal Medicine as a subject and its requirement in each of the Universities curriculum in Mexico that offers a degree in General Medicine. By the end of the first quarter of 2014, the research was closed and 81 campuses were studied. This research was quantitative, using an analytical technique, written discourse, exploratory and purposive sampling not random and homogeneous type. The Likert questionnaire was used in this study to analyse the following variables: the record of Internal Medicine as a subject, the burden of credit, and the location of the program. The procedure consisted of three phases. First obtaining an official list of all the Universities in the Mexican Association of Colleges and Schools of Medicine. Second, obtaining an analysis of each of the Universities' curriculums, and lastly gathering each variable of the study. The results of the Universities were 63% were public and 37% private. Internal Medicine as a subject in the curriculum was 37.1%, and 20% of the universities include it for six months and 9% offer it the whole year. However, the undergraduate internship in Internal Medicine offers it 100%. In conclusion, Internal Medicine as a subject could disappear from the curriculum in General Medicine before coming to the undergraduate internship, even though the latter is declared required in hospital shifts.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: yes | Not applicable | low |
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".