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Record W3212194771 · doi:10.3986/pkn.v44.i3.08

The Mapping of Center and Periphery, and the Geography of Otherness

2021· article· en· W3212194771 on OpenAlexaboutno aff
Jonathan Locke Hart

Bibliographic record

VenuePrimerjalna književnost · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsHybridityPoliticsGlobalizationSettlement (finance)Power (physics)Historical geographyHistoryAnthropologySociologyGeographyGenealogySocial sciencePolitical scienceHuman geographyLaw

Abstract

fetched live from OpenAlex

Some literatures, like Canadian literature, may be considered minor because Canada is not a major power. But in reality, Canadian literature and other literatures, large or small, are part of a cultural history that is not merely local or even national, but international. The territories of culture and literature in literal or metaphorical terms shift over time. Using a comparative method, this article examines texts—such as The Saga of Eric the Red and works by Columbus, Verrazzano, Jeannette C. Armstrong, Marie Annharte Baker and Carrie Best—to demonstrate the shifting boundaries of time and space and to explore the connections between cultures and literatures in Canada, Europe and the Atlantic and international worlds as part of a longstanding globalization. The article demonstrates that the hybridity resulting from cross-cultural contact and colonization typically blurs the distinction between center and periphery, revealing the historical fluidity of the political boundaries on which the concepts of national and world literatures are based. In doing so, it focuses on how North America, particularly Canada, and the historical process of its discovery, settlement, and colonization have connected this region to other parts of the world.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.335

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.184
Teacher spread0.176 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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