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Record W2335202389 · doi:10.2304/power.2014.6.2.169

‘Shut Up and Teach’: Confronting the Power of Racialized Hero Discourses of Soldier and Nation

2014· article· en· W2335202389 on OpenAlex
Ken Montgomery

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

VenuePower and Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsNationalismHERORacismPower (physics)ScholarshipArticulation (sociology)SociologyMilitarismGender studiesMedia studiesPolitical scienceLawLiteraturePolitics

Abstract

fetched live from OpenAlex

This article offers a discourse analysis of a sample of negative responses to the public position of a group of Canadian professors who contended that a particular non-governmental scholarship glorified war and was indicative of both a creeping Canadian imperialism and an expanding military-educational complex. The author argues that the powerfully negative reaction to the critique of the Project Hero scholarships was rooted in a nationalist fantasy of Canada as a benevolent do-gooder, and dependent upon both overt and subtle forms of racism. The article also aims to prompt a dialogue about the extent to which public intellectuals and public universities are free to engage openly in critique of power rooted in the articulation of nationalism, militarism and racism.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.191

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 integrity0.0000.000
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 head0.019
GPT teacher head0.321
Teacher spread0.302 · 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