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Record W4391745402 · doi:10.6000/1929-4409.2024.13.03

The Role of Social Systems in Absorption of Immigrants in Israel

2024· article· en· W4391745402 on OpenAlexvenueno aff
Vered Tamir, Irit Ein-Tal

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationAbsorption (acoustics)Demographic economicsPolitical sciencePhysicsLawEconomicsOptics

Abstract

fetched live from OpenAlex

Immigrants from the Former Soviet Union (FSU) are the largest ethnic unit to have arrived in Israel and, as such, have had a major impact on Israeli society in cultural, social and demographic terms. The manner in which the immigrants were absorbed in social institutions influenced the adaptation strategies they adopted, which changed over time. The research is aimed at examining the extent to which the immigrants have, according to their perception, adapted to the social frameworks, based on their experiences in connecting with the local population through the educational system and the Israel Defense Forces (IDF). The research is a qualitative one, in the framework of which interviews were conducted with 28 immigrants who had immigrated to Israel as children and adolescents. The immigrants developed adaptation strategies which changed as they transitioned from the educational system to the military framework, and subsequently settled into civilian life.

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)0.003
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 score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.402
Teacher spread0.342 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueInternational Journal of Criminology and SociologySame topicRacial and Ethnic Identity ResearchFrench-language works237,207