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Vantaggi e svantaggi dell’adesione del Brasile all’Organizzazione per la cooperazione e lo sviluppo economico – OCSE

2021· article· it· W3164035693 on OpenAlexaff
Luciana Machado Cordeiro, Ana Campina

Bibliographic record

VenueRevista Científica Multidisciplinar Núcleo do Conhecimento · 2021
Typearticle
Languageit
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Il lavoro di ricerca, qui proposto, ha la possibilità di portare alla discussione i vantaggi e gli svantaggi derivanti dal sostegno del Brasile all’OCSE. È un’Organizzazione Internazionale che attraverso i suoi membri e paesi membri promuove politiche volte allo sviluppo e al benessere delle persone. Lo studio inizierà con una breve storia sulla creazione dell’Organizzazione, sottolineandone le origini, gli obiettivi e gli strumenti, oltre a caratterizzare ciò che significa essere membri dell’Organizzazione. La metodologia utilizzata sarà bibliografica, basata sulla dottrina basata sul tema. In conclusione, affronterà l’importanza della governance globale, al fine di discutere i principali risultati dello studio sul processo di ammissione del Brasile, nonché i vantaggi e gli svantaggi del sostegno del Brasile all’Organizzazione.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0030.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.012

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 head0.057
GPT teacher head0.348
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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