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Record W2769452488

Reinventing the Self in the Canadian Multicultural Space(s): Frederick Philip Grove’s Search for Identity

2017· article· en· W2769452488 on OpenAlexaboutno aff
Rocco Leo

Bibliographic record

VenueLiterary Geographies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismRealmEthnic groupSpace (punctuation)Identity (music)SociologyImmigrationBiographyCultural identityConstruct (python library)Gender studiesAestheticsGenealogyHistoryMedia studiesAnthropologyArt historyArtSocial sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Space crucially influences how individuals who live (in) it construct their personal identities. This issue has been fundamental to the making of contemporary Canadian culture: by looking at or imagining their place, Canadian authors become the writers of two homelands who find their space in the global cross-border English-speaking culture as well as in the Canadian multi-ethnic or post-ethnic society. These authors become mapmakers as they introduce new sources of thought into a different space, and try to find their Self from a culture they have left behind. This essay takes into consideration the figure of Frederick Philip Grove, a cultivated European immigrant who left Berlin in 1909 to start a new life in North America and became a well-known Canadian fiction writer. The paper will concentrate on how he explored Western prairie pioneer life and its vibrant multi-cultural communities, and to what extent the Canadian natural and cultural realm Grove inhabited continuously influenced the definition of individuality he captures in his autobiography In Search of Myself (1946).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.001
Scholarly communication0.0050.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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
Published2017
Admission routes1
Has abstractyes

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