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Record W3039734244 · doi:10.1093/fmls/cqaa021

Canadian Noir: Consumer Culture, Colonial Nationalism and the Cardinal Series

2020· article· en· W3039734244 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

VenueForum for Modern Language Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsNationalismNational identityColonialismRepresentation (politics)SpectacleHEROSociologyForegroundingDominance (genetics)HistoryAestheticsArtLawLiteraturePolitical science

Abstract

fetched live from OpenAlex

Abstract Giles Blunt’s Cardinal police-procedural novels and their recent television adaptations evidence the noir genre’s sombre aesthetic, focus on a morally tainted hero, are preoccupied with seemingly irrational violence, and fixate on unresolved past injustices. In doing so, they reflect Canada’s aesthetic and ethical relationship to questions of national and transnational culture, colonial territoriality, and the moral principles at stake in the representation of violence. This Canadian ‘re-branding’ of noir features is haunted by deep-seated historical dissension and the present-day repercussions that are at the heart of the country’s national identity. Focusing on the first season of Cardinal (2017) and the novel from which it was adapted, Forty Words for Sorrow (2002), this essay examines the series’ stylish – if conflicted – reworking of noir’s roots in American crime fiction and film, and its use of contemporary Nordic influences, which work to salvage a form of Canadian cultural authenticity from the cultural dominance of US television and film crime dramas.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.040
GPT teacher head0.277
Teacher spread0.237 · 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