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Record W2731613621 · doi:10.1057/978-1-137-52606-9_9

English-Canadian Actresses and the Multiple Networks of the Urban Atlantic, 1890s–1920s

2017· book-chapter· en· W2731613621 on OpenAlexaffabout
Cecilia Morgan

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAtlantic WorldFantasyTravel writingHistorySpace (punctuation)Media studiesGeographySociologyArtLiteratureAncient history

Abstract

fetched live from OpenAlex

This chapter explores the urban Atlantic through the media of transatlantic English-language theater in the late nineteenth and early twentieth centuries. It focuses on two Canadian-born actresses, Margaret Anglin and Julia Arthur, whose careers spanned North America as well as England (Arthur) and Australia (Anglin). These women’s lives illuminate the ways in which theatrical networks and global technologies of transportation and communication (steamships, railroads, and telegraphs) connected Atlantic cities to the interior of the United States and Canada and, as well, to a Pacific world. Their careers also demonstrate how celebrity culture was part of the urban Atlantic, a culture that encompassed the realms of the public and the intimate. Anglin’s and Arthur’s lives suggest that the urban Atlantic was both a material, lived experience as well as being an imagined, albeit powerful, space of fantasy and desire.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0250.011
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.012
GPT teacher head0.205
Teacher spread0.192 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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Same venuePalgrave Macmillan US eBooksSame topicCanadian Identity and HistoryFrench-language works237,207