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Taksonomiczna analiza zrównoważonego rozwoju Litwy w sferze społecznej w latach 2006–2016

2018· article· pl· W2911103494 on OpenAlexaff
Regina Lašakevič

Bibliographic record

VenueInternational Business And Global Economy · 2018
Typearticle
Languagepl
FieldEconomics, Econometrics and Finance
TopicPolish socio-economic development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSustainable developmentPolitical scienceAgribusinessBusinessGeographyAgricultureArchaeology

Abstract

fetched live from OpenAlex

Uniwersytet w Bia³ymstoku Wydzia³ Ekonomiczno-Informatyczny w Wilnie Taksonomiczna analiza zrównowa¿onego rozwoju Litwy w sferze spo³ecznej w latach 2006-2016 Celem opracowania by³a ocena zró¿nicowania poziomu ³adu spo³ecznego w kontekœcie zrów-nowa¿onego rozwoju w okrêgach Litwy w latach 2006-2016.Do analizy wykorzystano metody porz¹dkowania liniowego, które pozwoli³y na zaprezentowanie dynamiki i trendu zmian poziomu ³adu spo³ecznego w badanym okresie.Syntetyczne mierniki ³adu spo³ecznego dla okrêgów Litwy wyznaczone metod¹ Hellwiga pozwoli³y na porównanie pozycji okrêgów pod k¹tem osi¹ganego przez nie ³adu spo³ecznego.Zaobserwowano wzrost ogólnego poziomu zrównowa-¿onego rozwoju w wymiarze spo³ecznym, przy jednoczesnym wzroœcie zró¿nicowania ze wzglêdu na ten wymiar miêdzy okrêgami Litwy w latach 2006-2016.Najni¿szy poziom zrównowa¿onego rozwoju w sferze spo³ecznej w wiêkszoœci okrêgów odnotowano w latach 2009-2010 oraz 2014-2015.Najwy¿szy rozwój sfery spo³ecznej w badanym okresie zaobserwowano w okrêgu wileñskim, œredni wy¿szy w okrêgu kowieñskim i k³ajpedzkim.W opracowaniu wykorzystano dane Departamentu Statystyki Litwy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0070.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.235
Teacher spread0.217 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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