New geographies of the metropolitan newspaper : exploring spaces of urban political journalism at the Toronto Star
Bibliographic record
Abstract
This thesis presents a new approach to the geographies of newspapers and their entanglement in the politics of cities, moving beyond traditional emphases on political economy and media representation. Highlighted are the practice-materiality nexuses through which urban political journalism is performed, considered using a basic ontology of 'sites'. This treats the metropolitan newspaper not as an urban institution, but as a continuously unfolding heterogeneous organization with potential effects in the politics of cities. At the core of the research is a broadly ethnographic approach, consisting of participant observations, in-depth interviews, content tracking and documentary analysis. The Toronto Star, a major metropolitan newspaper, is the starting point of the study. The thesis begins by considering the narration and performance of particular 'histories' of the newspaper, foreshadowing how such histories help to assemble organizational identities, and understandings about the connections of the newspaper with urban public life. This leads to an examination of the audience orientations and positioning of city editing, where attention is paid to how such work involves ambidextrous geographical imaginations of the city as both 'public' and 'market'. In contrast, three city politics beats - city politics reporting, column writing and editorializing - are then considered as 'hybrid' sites connected as much to spaces of urban politics as to those constituting their newspaper organization. These preceding analyses are folded together and viewed through the prism of newspaper's 'new deal for cities' campaign, and efforts at its re-launch during the research, emphasizing the contingency and unpredictability of news media involvement in urban politics. In concluding, the benefits of a site ontology are stressed vis-a-vis the politics of scale, while a range of future research directions are also identified, particularly the implications of media change for the future politics of cities, and the need for interdisciplinary studies of the geographies of journalism.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".