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Record W1989291207 · doi:10.3138/ijcs.48.173

“Une femme bien en vue”: Adrienne Clarkson and the Media

2014· article· en· W1989291207 on OpenAlexvenueaboutno aff
Eva‐Marie Kröller

Bibliographic record

VenueInternational Journal of Canadian Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPraiseGovernorCriticismMandateMedia studiesSociologyLawPolitical scienceArtEngineeringLiterature

Abstract

fetched live from OpenAlex

As the first Chinese-Canadian woman to occupy the position of Governor-General of Canada, Adrienne Clarkson attracted special attention from the start of her appointment. However, both the praise for her performance and the criticism of her alleged shortcomings drew extensively on reports in the media that accompanied her previous work, over several decades, as a journalist, editor, and diplomat. Clarkson’s travels in the company of representatives from the arts, sciences, and commerce were a special target, yet Clarkson has cited these, along with the lessons learned during past travels including a trip to China in pursuit of her heritage, as proof of a successfully fulfilled mandate. Thus, Canada’s House: Rideau Hall and the Invention of a Canadian Home (2004), a book produced by the historian Margaret MacMillan and others “in conversation with Adrienne Clarkson and John Ralston Saul,” describes Rideau Hall as the focal point of international mobility. This article looks at women and the office of Governor-General in Canada, including the “chatelaines” (Governor-Generals’ spouses), concentrating on middlebrow sources and paying special attention to the motif of travel. The purpose is to study the media coverage of the various roles Adrienne Clarkson has played in her professional life as a flashpoint of Canadian attitudes toward ambitious professional women generally and high-aiming ethnic women specifically.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.059
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0440.019
Scholarly communication0.0130.005
Open science0.0020.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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
Published2014
Admission routes2
Has abstractyes

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Same venueInternational Journal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207