MétaCan
Menu
Back to cohort
Record W277679460 · doi:10.3138/jcs.37.2.11

From Hewers of Wood to Producers of Pulp: True Crime in Canadian Pulp Magazines of the 1940s

2002· article· en· W277679460 on OpenAlexvenueaboutno aff
Carolyn Strange, Tina Loo

Bibliographic record

VenueJournal of Canadian Studies · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsLawCivilizationSociologyCriminologyPolitical science

Abstract

fetched live from OpenAlex

In the 1940s, federal restrictions on the importation of U.S. publications spurred the growth of a Canadian pulp magazine industry, one branch of which was true crime. These cheap consumables, adorned with bawdy and violent cover imagery as well as sexually explicit advertisements, sometimes featured Canadian murder cases. True crime stories featured edgy dialogue and gumshoe argot but they remained within, and helped to define, the boundaries of heterosexuality, the racist moral hierarchies, and the certitude of explicable crime. Far from presenting authority figures in a dim light, Canadian true crime tales were written from the perspective of law men, the local police officers and the Mounties who doggedly gathered evidence and trailed unrepentant criminals. Writers took readers on journeys to morally dark places, particularly the remote north and the far west, where civilization along settled Euro-Canadian models had barely taken hold well into the twentieth century. Terrible murders, committed by ruthless criminals (typically Native men), threatened to rock the foundations of Canadian civilization but true crime reassured readers that the cops, the courts, and the gallows could and would always set it right. The industry declined by the 1950s, not on account of a moral-clean-up campaign but as a result of the pulp novel industry’s growth and the revocation of wartime importation bans.

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)0.001
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 score0.283
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
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 head0.035
GPT teacher head0.261
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations8
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207