La gestión de la crisis sanitaria de la COVID-19 y su afectación en el reparto competencial y en las relaciones de colaboración y conflicto Estado - comunidades autónomas
Bibliographic record
Abstract
La gestió de la crisi sanitària de la COVID-19 ha constituït un repte per a la garantia dels drets fonamentals en el context de l’estat d’alarma declarat durant gran part de la pandèmia. Però aquesta mateixa contingència ha comportat també un test de resistència per a l’estat autonòmic. Prova d’això ha estat la centralització competencial experimentada sobretot durant el primer estat d’alarma o el desplaçament del dret sanitari autonòmic. Precisament, la cogovernança iniciada durant el segon estat d’alarma, més enllà del balanç que pot fer-se de l’eficàcia dels mecanismes relacionals posats en funcionament, ha evidenciat que era possible des d’un bon principi articular una gestió més respectuosa amb el repartiment territorial del poder polític i amb un enfocament de diversitat coordinada.
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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 | 0.017 | 0.029 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 0.008 |
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; both teacher heads agree on what is shown here.
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".