Destined to Change: Shifting Roles of Film and TV Stars in Shaping Canadian Mass Perception Amidst New Media Dominance
Bibliographic record
Abstract
The transformative impact of new media and multiple media platforms on Canada's communication landscape has redefined how film and television stars shape and influence the mass population's thinking and behavior, in contrast to the traditional media era. This research explores these changes by examining the interplay between celebrity influence, media consumption, and societal dynamics. The mediatization theory serves as a theoretical framework to understand the relationship between media and society, particularly in the context of Canada. The study focuses on the shifting roles of film and television stars within this dynamic media landscape, and highlighting their evolving influence on public perceptions and behaviors. Qualitative content analysis, grounded in mediatization theory and guided by a comparative lens, has been employed as the research methodology. This method allows for a meticulous examination of diverse media sources, encompassing traditional and new media platforms, to unveil the multifaceted ways celebrities shape mass population thinking and behavior. The advent of new media platforms has facilitated direct and interactive communication between stars and their audiences, fostering personalized engagement and dismantling hierarchical barriers. The influence of film and television stars extends beyond entertainment, interacting with Canadian cultural narratives and societal issues. As celebrities leverage new media platforms to champion social causes, they contribute to reshaping cultural norms and values. The findings contribute to a deeper understanding of the dynamics of media influence in the digital age, showcasing the sophisticated bond between media, celebrities, and societal evolution within the Canadian narrative.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.012 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".