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Record W2774329151 · doi:10.1177/0020702017741512

Discursive battlefields: Support(ing) the troops in Canada

2017· article· en· W2774329151 on OpenAlex

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

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMilitarizationAfghanRhetoricPoliticsPolitical scienceNarrativeBattlefieldSpanish Civil WarPublic opinionLawSociologyPublic diplomacyPolitical economyResistance (ecology)DiplomacyHistory

Abstract

fetched live from OpenAlex

Winning hearts and minds in counterinsurgency missions is not only a strategy to be used on foreign populations, but also one that is necessary on the “home front.” This article is focused on the home battlefield; it is an analysis of the efforts by Canadian political elites to justify the use of military resources during the 2001–2011 interventions in Afghanistan. To fully understand Canadian public opinion of the Afghanistan war requires assessing domestic discursive “battlefields.” This article examines domestic debates as a key “battleground” in the war to win public consent for Afghanistan. I argue that the absence of active resistance to military involvement in the Afghan mission can best be explained by examining discourse about Support(ing) the Troops, the effect of which was to censure anti-war voices. In short, despite public discontent about the war, Support the Troops discourse was manoeuvred in a way that stigmatized anti-war narratives. This article considers how the rhetoric of Support the Troops movements in Canada played a role in normalizing militarization, and how this discourse was manoeuvred to legitimize military activities in Afghanistan.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.392
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.327
Teacher spread0.314 · 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