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Record W2174622911 · doi:10.5539/jsd.v8n9p218

Development of the Smaller Local Communities in Slovenia Depends on the School as the Socio-Cultural Center

2015· article· en· W2174622911 on OpenAlexvenueno aff
Janko Muršak, Jasna Mažgon

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSustainable Urban and Rural Development
Canadian institutionsnot available
Fundersnot available
KeywordsCultural centerUrbanizationLocal communityCenter (category theory)SecularizationClosing (real estate)SociologyLocal DevelopmentFunction (biology)GeographyEconomic growthSocioeconomicsEconomic geographyPolitical scienceRegional science

Abstract

fetched live from OpenAlex

The local schools have always been the centers of the cultural and social life of the Slovenian communities. Functioning as a socio-cultural center of the local community, the school greatly surpassed its primary role of providing education to children. The process of urbanization that reached rural areas as well as the secularization of lifestyles brought about very interesting changes to the previously expanded function of local schools. In the research study we conducted in 2014 and 2015 we examined how contemporary schools perceive the need for collaboration and participation in their local environments. The results of qualitative analysis indicate that merging or closing of local schools could have negative demographic and socio-cultural consequences. Furthermore, the analysis has also revealed the underused potential of the localities lacking tradition, such as new urban areas where the school could be the crucial element in the social organization of the local community.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.038
GPT teacher head0.278
Teacher spread0.240 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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