From social celebration to politics as usual : newspaper coverage of the Legislative opening in Ontario, 1900-2007
Bibliographic record
Abstract
This dissertation analyzes twentieth century changes in the representation of political authority in Ontario. It does so by conducting narrative analysis and framing analysis of newspaper coverage of the ceremonial Opening of the Legislature. In contrast to standard political science approaches to this key civic ritual, the dissertation builds upon cultural theory that views news as central to the social construction of reality and addresses three research questions: In what ways has the meaning of the legislative opening been represented in mainstream Ontario newspapers? How have mass mediated processes of ritualization changed over time? And what do answers to the first two questions suggest about the development of popular conceptions of political legitimacy in Ontario? Textual analysis demonstrates that social knowledge about the legislative opening has changed significantly between 1900 and 2007. During the first half of the twentieth century, journalists approached and described the Opening of the Legislature as a Social Celebration: a popular festival at Queen's Park that was also a break from routine policy discourse and partisan battle. By contrast, by the 1970s coverage was organized around the Speech from the Throne. Increasingly aggressive journalistic tones and techniques represented the ritual as a performance of rationality--a special iteration of Politics as Usual. Once a celebration of social order centred around Ontario High Society, the legislative opening is now depicted as a debate among competing interests in Ontario society. While remaining critical of the emergent ritual of liberal-pluralism for its part in normalizing systems of inequality, the dissertation argues that changes in newspaper coverage both reflect and reinforce the rise of what Smith calls "electoral democracy", a conception of politics in which extra-parliamentary actors are legitimized as participants in government. At the level of scholarly practice, the study makes an original contribution to recent debates in media anthropology by using longitudinal textual analysis to study the ritualization of civic ritual; and shifts in news coverage are used to advocate further interdisciplinary studies of legislative politics in Canada.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".