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The Assistance of Canada and the Polish Diaspora in Canada to Polish Immigrants in the 1980s and 1990s

2018· article· pl· W2910401165 on OpenAlexaboutno aff
Anna Reczyńska

Bibliographic record

VenueStudia Migracyjne – Przegląd Polonijny · 2018
Typearticle
Languagepl
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaImmigrationPolitical scienceEconomic historyHistoryEthnologyLaw

Abstract

fetched live from OpenAlex

In the 1980s and 1990s, Canada accepted more than 115,000 Polish immigrants. Some of them went through refugee camps in Western Europe, some arrived in Canada from the U.S., and there were also those who came directly from Poland. Th is great infl ux of Poles to Canada was caused by a confl uence of factors. Th e most vital was obviously the economic and political situation in Poland, but Canada's immigration policy also played a signifi cant role, particularly the new regulations enacted in 1978. Th ey gave temporary preferences for East-European Self-Exiled Persons -those who left the Communist bloc and could not or did not want to return to their home countries. It is worth emphasizing that the Self-Exiled class formally existed in Canada until as late as 1990. Moreover, the new Canadian regulations enabled admitting immigrants who were sponsored by Canadian residents. Th is allowed the Canadian Polish Congress (CPC), following the1981 agreement with the Minister of Employment and Immigration, to act as a guarantor to persons and institutions bringing in immigrants. With the cooperation of the CPC, ethnic organizations, and Roman Catholic Church institutions, a network of Polish information and aid centers was established in Canada. Th ey were actively supporting the Canadian system of assistance for new immigrants, helping the newly arrived to adapt to life in a new country.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.233
Teacher spread0.224 · 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 teacher head, not a consensus.

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

Citations7
Published2018
Admission routes1
Has abstractyes

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