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Record W4391841495 · doi:10.1080/14681366.2024.2317853

Teaching about political violence in Canada: the everyday diplomatic challenges and strategies of secondary teachers

2024· article· en· W4391841495 on OpenAlex
Sigrid Roman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePedagogy Culture and Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsPolitical sciencePedagogyCriminologySociologyLaw

Abstract

fetched live from OpenAlex

Utilising data from 10 semi-structured interviews (n = 5), this article explores the diplomatic challenges and concerns Canadian secondary teachers faced when teaching about political violence and the strategies they employed while navigating these. Drawing insight from the notion of ‘everyday diplomacy’, the article frames teaching as a kind of diplomatic practice, where teachers employ a variety of strategies, ranging from avoidance to forthright resistance, in response to interested actors’ challenges and concerns. The findings also suggest the nature of these strategies depend on the teachers’ teaching contexts and relations to interested actors, the perceived and/or real power of these interested actors’ pressures, and the teachers’ own professional maturity, and thus confidence in advocating for this type of professional work. My contribution is to offer insight into teachers’ diplomatic knowledge, skills, and practices, and in doing so, highlight their importance as part of teachers’ day to day professional work.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.422

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.359
Teacher spread0.315 · 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