MétaCan
Menu
Back to cohort
Record W2300854003

Magazines, Travel and Middlebrow Culture: Canadian Periodicals 1925-1960

2015· book· en· W2300854003 on OpenAlexaboutno aff
Faye Hammill, Michelle K. Smith

Bibliographic record

VenueLiverpool University Press eBooks · 2015
Typebook
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsMiddlebrowPrestigeMainstreamReading (process)AdvertisingMedia studiesHistorySociologyPolitical scienceArt historyBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

This book announces a new cross-cultural approach to periodical studies, reading both French- and English-language magazines in relation to an emerging transatlantic middlebrow culture. Mainstream magazines, Hammill and Smith argue, forged a connection between upward mobility and geographical mobility. Fantasies of travel were circulated through fiction, articles, and advertisements, and used to sell fashions, foods, and domestic products as well as holidays. For readers who could not afford a trip to Paris, Bermuda, or Lake Louise, these illustrated magazines offered proxy access to the glamour and prestige increasingly associated with travel.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score0.499

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.010
Science and technology studies0.0120.006
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.027
GPT teacher head0.176
Teacher spread0.148 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueLiverpool University Press eBooksSame topicTravel Writing and LiteratureFrench-language works237,207