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Record W6917188224 · doi:10.57645/20.8080.01.51

La política econòmica de la Generalitat de Catalunya

2024· article· ca· W6917188224 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageca
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Order (exchange)Process (computing)

Abstract

fetched live from OpenAlex

Aquest article explora la política econòmica de la Generalitat de Catalunya. S’analitza la distribució de les competències econòmiques entre les diferents administracions, incloent-hi la Unió Europea, el govern central espanyol, la Generalitat de Catalunya i les administracions locals. També es detallen els components principals de la política econòmica de la Generalitat i es posa èmfasi en el pressupost del 2023. Es discuteix l’impacte del dèficit fiscal en els comptes de la Generalitat i es compara el nivell d’autogovern amb altres regions com el País Basc, Flandes, el Quebec i els lands alemanys. La comparació amb altres regions amb alts nivells d’autogovern posa de manifest les limitacions del model català i ofereix una visió clara sobre la necessitat d’una reforma en el sistema de finançament que permeti a Catalunya assolir un desenvolupament més equitatiu i sostenible. Les conclusions destaquen les polítiques econòmiques principals, els desafiaments financers, la necessitat de millorar l’autogovern i la importància d’un sistema de finançament més just per permetre majors inversions en sectors clau i reduir les desigualtats socials.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.354
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.201
GPT teacher head0.540
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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