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Record W2995612512 · doi:10.1177/0269094219889877

Ukrainian migrants in Poland: Socio-economic inclusion or exclusion?

2019· article· en· W2995612512 on OpenAlex
Weronika A. Kusek

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLocal Economy The Journal of the Local Economy Policy Unit · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianInclusion (mineral)Work (physics)Inclusion–exclusion principleEconomic shortagePolitical scienceEconomic growthSocial exclusionEconomyDevelopment economicsSociologyEconomicsGender studies

Abstract

fetched live from OpenAlex

Poland is an important country to study when assessing migration. In fact, many scholars who focus on migration and its impact on the local economy, in relation to Poland, focus on Polish migrants living and working in countries such as the United Kingdom, United States, Canada, or Australia. This viewpoint presents a different focus by addressing the need to conduct more work on migrants who are coming to Poland to work to fulfill labor shortages and take advantage of the country’s growing economy. Specifically this paper will look at Ukrainians who are migrating to Poland. The viewpoint will focus on push/pull factors and touch on aspects of the lived experience of Ukrainian migrants in Poland. This paper helps identify some observed trends from interviews to identify future research directions related to socio-economic inclusion or exclusion.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.293
Teacher spread0.279 · 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