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Record W1581678134

The Megaphone as Material Culture:: Design, Use and Symbolism in North American Society, 1878-1980

2011· article· en· W1581678134 on OpenAlexaff
Bret Edwards

Bibliographic record

VenueMaterial Culture Review / Revue de la culture matérielle · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCONTESTSociologySymbol (formal)AestheticsStatus quoPrivilege (computing)Power (physics)Great powerHistoryPolitical scienceLawArtPolitics
DOInot available

Abstract

fetched live from OpenAlex

This article examines the ways in which the megaphone was utilized as an object of communication and as a semiotic cultural symbol in North America between the late 19th and late 20th century. Through this analysis, it argues that a correlation can be established between technological modifications to the megaphone and pronounced changes in its users, use and cultural meaning over time. Equipped with limited communicative capabilities, the original, vintage megaphone occupied a prominent role in the patriarchal power structure and culture of leisure of the Victorian era as a gendered and exclusive instrument that accorded knowledge and stature to its primarily male users. This association with power and privilege, however, grew more tenuous by the early-post-war era. In response to dramatic advances in design and technology and in conjunction with growing societal polarization, the modern successor to the original megaphone became ascribed with new cultural meanings antithetical to the Victorian era, and evolved into a polarizing cultural symbol as a politicized and democratized object utilized by a diverse set of social actors to both enforce and contest the status quo.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.009
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.226
Teacher spread0.193 · 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
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

Citations1
Published2011
Admission routes1
Has abstractyes

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