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Record W2785149925 · doi:10.22230/cjc.2017v4n5a3225

“You Talkin’ to Me?”: The Implied Reader in Canadian Business Magazine

2017· article· fr· W2785149925 on OpenAlexvenueaboutno aff
Karen Grandy

Bibliographic record

VenueCanadian Journal of Communication · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)HumanitiesArtNarratologyArt historySociologyLiteratureNarrative

Abstract

fetched live from OpenAlex

Background This Research in Brief asks whether the implied reader of Canadian Business is gendered and exclusive of women, as claimed in the November 2013 Letters to the Editor of that magazine.Analysis To answer this question, the author examined article subjects, illustrative photographs, and textual signals of the implied reader in all the style and fashion articles (43 in total) published in the magazine over five years, 2010 to 2014.Conclusion and implications The analysis confirms the letter writers’ complaint that women readers are largely excluded from the implied audience of these articles.Keywords Magazines; Business media; Gender; Narratology; Implied readerContexte Cette Recherche en bref cherche à voir si le lecteur implicite de Canadian Business est mâle à l’exclusion des femmes, tel que le prétend une lettre à l’éditeur parue dans ce magazine en novembre 2013.Analyse Pour s’adresser à cette question, l’auteure a examiné des sujets d’articles, des photos représentatives et des interpellations du lecteur implicite pour tous les articles de style et de mode (43 en tout) publiés dans le magazine pendant cinq ans (de 2010 à 2014).Conclusion et implications L’analyse confirme la plainte dans la lettre à l’éditeur selon laquelle les lectrices ne comptent pas parmi les lecteurs implicites de ces articles.Mots clés Magazines; Médias d’affaires; Genre; Narratologie; Lecteur implicite

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.328
Teacher spread0.271 · 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 routes2
Has abstractyes

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