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Record W2739014503 · doi:10.22215/sjcs.v7i0.1168

Sustaining Canadian Studies in the U.K.: Role Play as an Engaging Pedagogical Tool to Teach Canada Abroad

2016· article· en· W2739014503 on OpenAlexaboutno aff
Luke Flanagan

Bibliographic record

VenueSouthern Journal of Canadian Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsDelegateGovernment (linguistics)Political scienceOrder (exchange)Subject (documents)Value (mathematics)State (computer science)PedagogyPublic relationsSociologyLibrary scienceBusiness

Abstract

fetched live from OpenAlex

While scholars have been successfully offering courses in Canadian Studies abroad for more than three decades, the recent cancellation of the Government of Canada’s funding program, Understanding Canada, puts such foreign-based teaching programs in a state of flux. Given that there is now little financial support for institutions, courses and conferences, instructors must ensure that courses in Canadian Studies are engaging and accessible in order for the discipline to stay relevant within this new fiscal reality. One solution could be to use innovative teaching techniques to demonstrate the value of Canadian Studies as an academic discipline. My experience at the Centre of Canadian Studies (the Centre), University of Edinburgh provides a case study for the use of this approach. In a first-year undergraduate course at the Centre, offered in 2009-10, I used role play to teach the arguments for and against the establishment of Canada wherein each student took on the guise of a specific delegate at the 1864 Charlottetown Conference and argued the case in an open debate. This exercise simultaneously allowed me to deliver the necessary content while also providing students with the opportunity to immerse themselves in the core arguments and characters. As a result, barriers to learning were reduced as content became more accessible and the interdisciplinary nature of Canadian Studies became more evident because each student approached the exercise from their own subject specialism.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
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 head0.067
GPT teacher head0.347
Teacher spread0.280 · 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 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
Published2016
Admission routes1
Has abstractyes

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