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Record W4385533651 · doi:10.1515/9780773586833

Rethinking Professionalism

2012· book· en· W4385533651 on OpenAlexaboutno aff
Kristina Huneault, Janice Anderson

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

The history of women and art in Canada has often been celebrated as a story of progress from amateur to professional practice. Rethinking Professionalism challenges this narrative by questioning the assumptions that underlie the category of artistic professionalism, a construct as influential for artistic practice as it has been for art historical understanding. Through a series of in-depth studies, contributors examine changes to the infrastructure of the art world that resulted from a powerful discourse of professionalization that emerged in the late- nineteenth century. While many women embraced this new model, others fell by the wayside, barred from professional status by virtue of their class, their ethnicity, or the very nature of the artworks they produced. The richly illustrated essays in this collection depict the changing nature of the professional paradigm as it was experienced by women painters, photographers, craftspeople, architects, curators, gallery directors, and art teachers. In so doing, they demonstrate the ongoing power of feminist art history to disrupt patterns of thought that have become naturalized and, accordingly, invisible. Going beyond the narratives of recovery or exclusion that the category of professionalism has traditionally encouraged, Rethinking Professionalism explores the very consequences of telling the history of women's art in Canada through that lens. Contributors include Annmarie Adams (McGill University), Alena Buis (Queen's University), Sherry Farrell Racette (University of Manitoba), Cynthia Hammond (Concordia University), Kristina Huneault (Concordia University), Loren Lerner (Concordia University), Lianne McTavish (University of Alberta), Kirk Niergarth (Mount Royal University), Mary O'Connor (McMaster University), Sandra Paikowsky (Concordia University), Ruth B. Phillips (Carleton University), Jennifer Salahub (Alberta College of Art & Design), and Anne Whitelaw (Concordia University).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.867
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.068
GPT teacher head0.320
Teacher spread0.252 · 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.

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

Citations8
Published2012
Admission routes1
Has abstractyes

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