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Record W4304195480

Cultural Life of the Immigrant Community: Factors of Dynamics

2006· article· hr· W4304195480 on OpenAlexaboutno aff
Janja Žitnik

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2006
Typearticle
Languagehr
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationDynamics (music)SociologyGeographyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

This article explores the conditions that are required for a fully developed cultural and artistic activity (production, consumption and reception) going on within or in vital connection with the immigrant community.Drawing on the experience of Slovenian emigrant communities in other European countries, Australia, Argentina, Canada, the United States, Africa and the Arabian Peninsula, and the experience of the largest immigrant communities in Slovenia, that is the Bosniak-Muslim community, the Serbian, the Croatian, the Macedonian, the Montenegrin, the Albanian, and most of the Romany community, the author summarizes, from the viewpoint of literary and cultural historian, the most evident sets of factors that have been found relevant in terms of shaping those conditions in the case of the abovementioned communities.Relying on an information grid extracted from a most diverse selection of sources, the author attempts to point to some relevant aspects that have been largely neglected in the field of cultural historiography.

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)0.003
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.012
Scholarly communication0.0100.003
Open science0.0010.007
Research integrity0.0010.001
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 head0.013
GPT teacher head0.192
Teacher spread0.179 · 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
Published2006
Admission routes1
Has abstractyes

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