Politics and Popular Culture: How Some Young Anglophone Canadians Perceive the Political Content of the Entertainment Media
Bibliographic record
Abstract
This research, based on surveys of 456 young Canadians enrolled at universitieswhere English is the primary language of instruction, seeks answers to several basicquestions at the foundation of the inquiry into the impact of popular culture onyoung English-speaking Canadians' political beliefs. It investigates whether youngCanadians actually perceive any political messages in popular culture, and whetherthey think about these themes in a rigorous way. We investigate whether conservativeor liberal youths are more likely to agree or disagree with the politics of popularculture, and to what extent young Canadians' attitudes toward the socio-politicalcontent of the entertainment media are different from US youths' attitudes. Thisresearch also serves to link the passive and active theories of socialization, andto contribute to the debate over the existence of US cultural imperialism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".