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Record W4313299635 · doi:10.19195/0301-7966.60.17

On Immigration and Identity: Becoming a Canadian Writer

2022· article· en· W4313299635 on OpenAlexaboutno aff
Eva Stachniak

Bibliographic record

VenueAnglica Wratislaviensia · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationIdentity (music)SociologyPolitical scienceAestheticsArtLaw

Abstract

fetched live from OpenAlex

The first thing that comes to mind when I think of immigration and identity is a Polish word: gone missing.Emigration has never been far away from the Polish consciousness, either as an inevitable and tragic fall-out of the chequered Polish history, or as a coveted escape from the post-WWII communist prison.Emigration as political exile was part of our Polish fate; once outside, an emigrant could long for Poland and dream of return-in spirit, if everything else failed.When I was growing up, emigration in Polish conversations returned as a dream of escape from the daily humiliations of life in the People's Republic, a dream that concluded with an act of leaving, "the happily ever after" of fairy tales.Beyond it, there was little else to talk about.At the Canadian border, in August of 1981, my Polish passport was stamped with the seal of Canadian Immigration, and this is when it struck me how, in Poland, the word "immigration" was hardly ever used, and how the act of leaving was no longer the end of the story.What was Canada, then, for me?A vaguely-realized land of peace and prosperity.A nebulous construct based on the lack of problems that defined my Polish existence.A jumble of incongruous associations.Anne of Green Gables, which every Polish girl I knew grew up loving.Leonard Cohen, with his throaty songs of romantic melancholy that spoke to the Polish soul.Grey Owl and his Beaver People.Arkady Fidler, who claimed that this is a country smelling of pine resin.There were also other, less benign associations."Kanada" was the name of the Auschwitz barracks where the stolen property of the victims was stored.A land of plenty a rebours, even there.There was the flamboyant Prime Minister, Pierre Elliott Trudeau, and the Montreal Olympics of 1976.My parents, natural scientists both, gave me a crash course in geological and paleontological wonders.Newfoundland, I learnt, not only has some of the oldest rocks in the world, but the rocks that come in unusual sequences, the evidence of colliding continents and

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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 score0.771
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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 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
Published2022
Admission routes1
Has abstractyes

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