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Record W2902738761

To Be North American but Not American: The Transformation of Canadian Studies and Canadian Universities

2018· dissertation· en· W2902738761 on OpenAlexaboutno aff
Jennifer Lucas

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAmerican studiesTransformation (genetics)Political scienceLibrary scienceGeographyGenealogyHistoryComputer scienceHumanitiesBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

The Canadianization movement emerged in the late 1960s and early 1970s from Canadian universities and has been treated as a brief moment in the historiography of Canada’s 1960s, post-secondary education in Canada and broader Americanization of Canadian society. The historical figureheads of the movement, Robin Mathews and James Steele, advocated for the hiring of Canadian faculty and increased Canadian content in universities across Canada. When a broader lens is used to view the Canadianization movement, it becomes apparent that the movement was the beginning of efforts to develop Canadian Studies as an interdisciplinary project in Canadian universities. Canadianizing efforts examined course content, curricula and personnel (including faculty, graduate students, and administrators) in order to foster a unique Canadian identity through the promotion of Canadian education. These studies were the origins of a number of Canadian university hiring policies and practices in place today. The Canadianization movement needs to be considered a broader movement–both chronologically and outside the involvement of Mathews and Steele–because, when it is expanded to encompass other organizations and reports that supported explicit Canadianization goals, such as the Canadian Association of University Teachers (CAUT), the Committee for an Independent Canada, the Symons’s Report, and David Cameron’s Taking Stock, the movement’s importance to Canadian education and Canadian identity becomes readily apparent.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.201
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 teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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