Digitalization on Macroeconomics learning by FRED
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
Estudio de innovación docente y digitalización en Macroeconomía vía plataformas en línea y con datos reales. Dada la desafección de los estudiantes con los modelos ortodoxos macroeconómicos y sus métodos docentes poco atractivos, se ofrece aquí una alternativa de síntesis heterodoxa, basada en un proyecto de innovación docente que se viene desarrollando en la Universidad Rey Juan Carlos. Los alumnos, en clases invertidas y gamificadas, han tenido acceso continuo a prácticas, datos y gráficas de FRED ® (Federal Reserve Economic Data), del Banco de la Reserva Federal de St. Louis. Los resultados han sido muy positivos, por lo que se ha ampliado a otros recursos en línea.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it