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Record W2018189114 · doi:10.3138/ijcs.48.85

Trafficking Literature: Travel, Modernity, and the Middle Ground of Canadian and Australian Middlebrow Print Cultures

2014· article· en· W2018189114 on OpenAlexvenueaboutno aff
Victoria Kuttainen

Bibliographic record

VenueInternational Journal of Canadian Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsMiddlebrowModernityPrint cultureEscapismTasteColonialismConsumerismSophisticationConsumer CultureCelebrity cultureEntertainmentCommodityHistorySociologyMedia studiesAestheticsLiteratureAdvertisingArtPolitical scienceArt historySocial scienceLawVisual artsPsychology

Abstract

fetched live from OpenAlex

This article explores the possibility of renewing the comparative study of Canadian and Australian literatures through an alertness to parallel developments in mid-range magazines and middlebrow print cultures in Canada and Australia in the early- to mid-twentieth century. While scoping the possibilities of full-fledged comparative studies, its focus is a case study of the Australian magazine BP: a well-capitalized, plush upmarket publication published by the Australian steamship company Burns Philp. The BP Magazine promoted travel between 1928 and 1942 as the nation underwent a transition from settler colonialism to vernacular modernity. The magazine lays bare tensions between literary aspiration and commodity culture, sophistication and escapism, edification and entertainment, and modernity and primitiveness. The aim of this case study is to raise questions that might be asked of both national literary cultures about the role of travel, modern consumer culture, magazines, and nationhood as the scales of literary values changed during the development of local middlebrow values and tastes.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.082
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.010
Science and technology studies0.0340.032
Scholarly communication0.0150.005
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.053
GPT teacher head0.263
Teacher spread0.210 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

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