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Record W7067672873

The Matriarchitects: The Creation and Maintenance of the British Imperial Simulacrum in the Journalism of Helen Gregory MacGill, Madge Macbeth, and Kathleen Blake Coleman

2023· other· en· W7067672873 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSimulacrumJournalismContext (archaeology)Argument (complex analysis)Empire
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the lives and work of three early Canadian women journalists, Helen Gregory MacGill, Madge Macbeth, and Kathleen Blake “Kit” Coleman. The argument expands on the work of Sara Mills in Discourses of Difference (1991), using a similar Foucauldian approach to determine constraints on the production and reception of the three women’s writings; additionally, Jean Baudrillard’s simulacrum theory is used to determine the effects produced by those writings. The analysis focuses on articles the three journalists wrote about nations beyond the control of the British empire – Japan, Spain, and Cuba respectively – using an interdisciplinary approach. By situating the three journalists within the Canadian context of British high imperialism, and then assessing their articles as travel writing rather than journalism, the impact of their work emerges: through their journalism work, MacGill, Macbeth, and Coleman contributed to the creation and maintenance of a simulacrum of the British empire.

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)0.005
metaresearch head score (Gemma)0.012
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: none
Teacher disagreement score0.344
Threshold uncertainty score0.683

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0280.028
Scholarly communication0.0140.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.166
Teacher spread0.160 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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