Post‐tropical cyclone Fiona and Atlantic Canada: Media framing of hazard risk in the Anthropocene
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Post-tropical cyclone Fiona made landfall in Nova Scotia, Canada, in September 2022 with the force of a Category 2 hurricane. Using 'risk society' as an analytical framework, and Thomas A. Birkland's 'focusing event' concept, this paper seeks to understand how publics construct risk in the context of climate change and how institutions engage with those narratives. A qualitative content analysis of 439 newspaper articles from across Canada reveals that most media provide a superficial description of hazard impacts. When media are critical, they connect Fiona to climate change, other extreme events, social vulnerability, and systemic inequality. In response to Fiona and industry trends, insurance representatives indicate a withdraw from covering low-probability, high-consequence events owing to ambiguity in risk analysis and financial interests, complicating hazard relief. Political actors' rhetoric is strong-delivering relief in unprecedented ways and offering new adaptive policy. However, a history of unfulfilled political promises to act on climate change elicits scepticism from media sources.
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.
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 | 0.000 |
| 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 | 0.000 |
| 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 it