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Record W3210929110 · doi:10.37371/kep.2021.10.4

A GPA, vagyis a Kormányzati Beszerzési megállapodás

2021· article· hu· W3210929110 on OpenAlexfundno aff
Réka Kenessey

Bibliographic record

VenueKözbeszerzési Értesítő Plusz · 2021
Typearticle
Languagehu
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaMinistère de la Défense NationaleMinistry of Culture and SportCrown EstateInstitut National de Physique Nucléaire et de Physique des ParticulesInstitut national des sciences de l'UniversInstitut de Veille SanitaireDepartment for International DevelopmentVetenskapsrådetNatural Sciences and Engineering Research Council of CanadaDepartment for Children, Schools and FamiliesInstitut national de recherche en informatique et en automatique (INRIA)Institut National de la Recherche AgronomiqueInstitut National de la Santé et de la Recherche MédicaleMinistry of Construction and HousingInstitut de Recherche pour le DéveloppementU.S. Department of Veterans AffairsU.S. Department of Justice
KeywordsHumanitiesPhysicsPolitical scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

A cikk a GPA-val foglalkozik, ismertetve annak történeti előzményeit, főbb rendelkezéseit, kiemelten vizsgálva a hatállyal kapcsolatos rendelkezéseket. A cikk kitér a GPA viszonylatában a nemzeti elbánás alapelve érvényesülésének egyes kérdéseire is.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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: none
Teacher disagreement score0.625
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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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