Mandatory prior appointment in Public Administrations: analysis post COVID-19 and problems raised
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
En el presente estudio analiza el funcionamiento e impacto del régimen de cita previa obligatoria en un contexto social posterior a la crisis sanitaria acontecida a raíz del COVID-19. Para ello se analiza la imposición de la cita previa en relación con los principios rectores del procedimiento administrativo y de la potestad autoorganizativa de la Administración, concretamente, los principios de buena administración, interés general, discrecionalidad y eficacia. Asimismo, se toman en consideración los efectos que la solicitud de cita previa opera respecto de la obligación de relacionarse electrónicamente contenida en el art. 14 LPAC y se realiza un análisis de los pronunciamientos judiciales existentes con el fin de desvelar los efectos que la exigencia de la cita previa puede tener sobre el cómputo de plazos
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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 it