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Record W4390063659 · doi:10.1386/rjao_00080_1

Forging a format: Advertising, attention and intimacy on the Mary Margaret McBride Program, 1941–54

2023· article· en· W4390063659 on OpenAlexafffund
Sadie Couture

Bibliographic record

VenueRadio Journal International Studies in Broadcast & Audio Media · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNewspaperFeelingSociologyAtmosphere (unit)PersonalityConsumer CulturePsychologyAdvertisingMedia studiesSocial psychology

Abstract

fetched live from OpenAlex

Each weekday at one o’clock, American radio personality Mary Margaret McBride (1899–1976) chatted on the air with guests for 45 minutes. Her programme combined advertising, editorial content and interviews in a unique manner, and her relationship with listeners was experienced as close and personal. Building on radio scholars’ interest in the ‘intimacy’ of the medium, this article investigates the form and structure of McBride’s programme, how her listeners engaged with it, and the specific techniques and stylistic choices which contributed to these feelings of familiarity. Based on listener letters, newspaper clippings and the programme itself, this work explores the ways in which McBride and her listeners together developed an atmosphere of intimacy on her programme, notes how these relationships were deeply enmeshed in consumer culture, and suggests that McBride’s programme was a part of an emergent cultural formation, articulating novel structures of feeling which have since become dominant across media forms and have persisted over time.

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)0.003
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 score0.720
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.077
GPT teacher head0.388
Teacher spread0.312 · 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
Published2023
Admission routes2
Has abstractyes

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