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Record W7048770506

LIFE OF RUSSIANS ABROAD

2011· other· ru· W7048770506 on OpenAlexaboutno aff

Bibliographic record

VenueSibFU Digital Repository (Siberian Federal University) · 2011
Typeother
Languageru
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSalaryChoseIgnoranceWork (physics)DreamWork abroad
DOInot available

Abstract

fetched live from OpenAlex

Синютина В.Ю.Научный руководительдоцент Воног В.В. Сибирский федеральный университетEvery year about seventy thousand Russian citizens go abroad for permanent residence.Emigration always was the actual problem, but in modern Russia this question stands especially sharply.More than half of economically active Russians dream of working abroad, however the considerable part of them agrees to move only provided that the salary on a new place will be higher, than in Russia.According to the results of research working abroad is an end in itself only for 12 % of Russians: they would even accept an offer of the foreign employer when the salary in other country will be lower, than in the homeland.Respondents want to work «anywhere only not in Russia» for the sake of possibility to practise language and social guarantees.More often than the others Russians aged till 30 years (14 %) are ready to work abroad with a salary lower, than in Russia, because they would like to have a new experience and impressions.The majority of those who want to realize themselves abroad (45 %) agree to do it only for worthy monetary compensation.men more often chose this variant of the answer (51 % against 40 % among women).30 % of Russians wouldn't like to work abroad.Respondents don't want to leave by reason of an ignorance of language, the unwillingness to leave the family, fear not to get accustomed on a new place because of a mentality difference, and also negative experience abroad.There are more women (34 % against 25 % among men) among those who isn't ready on moving.Besides, the unwillingness to work abroad more often others is shown by Russians is more senior 50 years (43 %), as it is no wonder, after all at mature age the few are ready to risk stability and sharply to change the life.Every fifth participant of research has found it difficult to answer.So, why Russians want to leave abroad?People leave, because think: it will be better abroad.The abroad involves with a high standard of living, political predictability, safety and comfort.The dream of the developed west countries lives in many hearts, despite a staff deficit in the homeland.If total number left for living well -100 % programmers and the scientists, continuing to work on a profile, among them is less than others -10 %.The majority of Russians abroad is people from 35 years and is more senior, without higher education, with the working specialities received still in Soviet Union or Russia of 90th years.According to local residents that in Europe that in the USA the main problem of Russian -unwillingness to learn foreign languages.It brakes their career.Whom more often Russian work abroad as? USA and Canada have become lately the most popular routes of Russian citizens' labour immigration.The USA.Our compatriots in the United States of America are occupied basically in sphere of services, as a rule, work as barmen in inexpensive institutions.«They are young men, they know English, try to be pleasant to clients, but a little that are able», -the lawyer from Boston KrejgLouton shares the impressions.1800dollars -average earnings of the barman.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0030.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.004

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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