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Banca pública colectiva para el bien común en la región nórdica

2024· article· es· W4403934662 on OpenAlexaff
Petri Juuti, Riikka P. Juuti, David A. McDonald

Bibliographic record

VenueOla Financiera · 2024
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsQueen's University
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Los bancos estatales de Finlandia, Suecia, Noruega y Dinamarca han desempeñado un papel fundamental en el financiamiento de los costos de los servicios públicos de agua en la región nórdica durante más de un siglo. Un modelo bancario mancomunado, de propiedad colectiva y operado por los gobiernos municipales y/o nacionales, ha permitido a los operadores estatales de agua obtener financiamiento a las tarifas más bajas posibles, mejorando los servicios y protegiendo su estatus público. No está exento de desafíos, incluidas las amenazas de privatización y comercialización de los operadores públicos de agua y los bancos públicos, pero este modelo nórdico tiene mucho que ofrecer a los debates globales sobre el financiamiento estatal de los servicios públicos de agua.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.834

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0050.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.255
Teacher spread0.237 · 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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