Uncertainty in Climate Change Discourse: An Examination of Regional Canadian Newspapers
Bibliographic record
Abstract
This thesis examines the prevalence and framing of climate change across seven regional Canadian newspapers, with a focus on climate uncertainty, from April 1 to September 30, 2013. Results indicate that climate change and uncertainty are prevalent across Canadian newspapers, and that there is a prevailing discourse. Climate change is primarily framed as a contemporary issue that exists on an international scale. It is often linked to environmental, political, energy, and scientific issues; however, climate change itself is primarily de-contextualized. Climate solutions are especially lacking from the discourse and climate responsibility is either non-existent or related to government. It is thus not surprising that uncertainty within the discourse is primarily about climate action and solutions. Although there are some statistically significant differences between the regional newspapers in regards to spatial framing, climate context, and climate attitude, there does not appear to be any underling spatial pattern therein.
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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 | 0.001 | 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) | 0.001 | 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".