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Record W2078076534 · doi:10.2298/zmsdn1031443p

Possibilities for connection and cooperation with Serbia: Standpoints of new Serbian Diaspora in Canada and the USA

2010· article· en· W2078076534 on OpenAlexaboutno aff
Jelena Predojević-Despić

Bibliographic record

VenueZbornik Matice srpske za drustvene nauke · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSerbianDiasporaSample (material)Work (physics)Field (mathematics)Regional sciencePolitical scienceSociologyPublic relationsGender studiesEngineering

Abstract

fetched live from OpenAlex

Virtual and real contacts create possibilities for a flow of ideas and information and in that way a so-called a culture of networks is developed, which can multiply contribute, not only to bringing spectrums of new development models together, but also creating new ones, especially in the field of economics. Based on a survey questionnaire which was carried out in 2008 among highly educated persons from Serbia who now live in the USA and Canada (on a sample of 430 respondents), the paper deals with the following: what is the standpoint of our diaspora towards the current socio- economic situation in Serbia, what are their plans for the future regarding life and work, if is it possible to establish cooperation with our highly qualified diaspora, as well as which fields of cooperation could be developed with Serbia and its institutions. .

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.751

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0270.007
Scholarly communication0.0090.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.191
Teacher spread0.175 · 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 designQualitative
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
Published2010
Admission routes1
Has abstractyes

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