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Record W2588963587 · doi:10.5539/ibr.v10n3p169

Significance of Social Capital in Socio-economic Development of Bosnia and Herzegovina

2017· article· en· W2588963587 on OpenAlexvenueno aff
Zlatan Delić, Hariz Šarić, Nedim Osmanovic

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
Fundersnot available
KeywordsSocial capitalBosnianEmpowermentCollective actionContext (archaeology)Economic growthSocioeconomic developmentPoliticsPolitical sciencePublic relationsSociologyEconomicsSocial scienceGeography

Abstract

fetched live from OpenAlex

Social capital is used in interdisciplinary research as an analytical tool for explaining how culture, trust, and cooperation between people may be put into a function of general good, economic development and society in general. The objective of this paper consists of identification and analysis of status in the field of groups and networks, trust and solidarity, collective action and cooperation, information and communication, social cohesion and inclusion, and empowerment and political action, as key dimensions of social capital, and all in the context of overview of its significance in socio-economic development of Bosnia and Herzegovina. For the purpose of implementation of the named aim, a secondary and primary research has been conducted (by surveying 100 members of the top management teams in Bosnian and Herzegovinian SMEs). The research results show a relatively unsatisfactory status in the area of observed dimensions of social capital in Bosnia and Herzegovina, and the decision makers and creators of socio-economic policies should put in a more significant effort in the area of development of social capital which has a significant potential in the context of incitement of socio-economic development.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.089
GPT teacher head0.420
Teacher spread0.331 · 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 teacher head, 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

Citations6
Published2017
Admission routes1
Has abstractyes

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