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Record W7139503365

Russian institute of migration within the legislation migratsionnyz U.S., Canada, Germany and Sweden

2014· article· ru· W7139503365 on OpenAlexaboutno aff
Ю. В. Радостева, J. V. Radosteva

Bibliographic record

VenueElectronic scientific archive of UrFU (Ural Federal University) · 2014
Typearticle
Languageru
FieldSocial Sciences
TopicCOVID-19, Geopolitics, Technology, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationLegislatureConsolidation (business)ConsciousnessHuman rights
DOInot available

Abstract

fetched live from OpenAlex

Processes of international migration are a major component of contemporary socio-economic and cultural patterns of development. Legislative regulation of migration legislation using borrowing provisions acceptable to the Russian legislation will allow consolidation of not only rights but duties mainly thus should change the consciousness of workers and boost their moral status in the eyes of the Russians.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.005

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 head0.233
Teacher spread0.219 · 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
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
Published2014
Admission routes1
Has abstractyes

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Same venueElectronic scientific archive of UrFU (Ural Federal University)Same topicCOVID-19, Geopolitics, Technology, MigrationFrench-language works237,207