Análisis en clave competencial del Proyecto de ley estatal sobre transparencia, acceso a la información pública y buen gobierno
Bibliographic record
Abstract
This article focuses on the analysis of the several competencies that serve the Central Government and the regional governments to pass laws on transparency and access to public information: it specifically focuses on the regulation of the right of access to information. We aim to analyze, from the perspective of the distribution of powers, whether the Spanish bill on transparency, right of access to information and good governance fits within the Spanish pluri-legislative framework. Some regions have already passed their owntransparency laws and have regulated, even minimally, the right of access to public information or, otherwise, to the administrative files and records. Additionally, we offer a brief panorama of how the regulation of the right of access has been articulated in other politically decentralized states, such as the USA, Canada, Switzerland and Italy. This will allow us to reach some conclusions on whether having a single legal framework guaranteeing the right of access is a must.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".