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Diaspora, ojczyzny i pamięć w życiu ukraińskich migrantów z Polski w Toronto

2018· article· pl· W2918006832 on OpenAlexaboutno aff
Patrycja Trzeszczyńska

Bibliographic record

VenuePrace Etnograficzne · 2018
Typearticle
Languagepl
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaPolishArtTheologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Diaspora, Homelands and Memory in Lives of Ukrainian Migrants from Poland in CanadaThe basis for this article is ethnographic field research carried out in Canada in 2014-2016 among Ukrainians who emigrated from Poland in 1980s and met vibrant Ukrainian diaspora built by earlier generations of Ukrainian migrants.The author analyses the encounter of official, diasporic discourses of the Ukrainian past with the local history of Ukrainians from Poland, especially displacement of 1947, spaces of self-presentation, role and significance of images of Poland and Ukraine in their lives, their involvement in wider Ukrainian context in Canada, contacts with the local Polish diaspora, problems with explicit identity assignment and a specific group distinctiveness that is a challenge for the essentialistically understood diaspora.In return, she proposes to consider the part of the Ukrainian diaspora as a transnational imaginary community (the concept of M. Sökefeld), and to follow the attitudes, practices and ideas of both the diaspora and the native 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 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.660

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.327
Teacher spread0.299 · 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 designQualitative
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
Published2018
Admission routes1
Has abstractyes

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