Public narratives of the relationship between post-pandemic economic recovery and decarbonization: A case study of Toronto’s media sphere
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
Recent research indicates that the economic downturn brought by the COVID-19 pandemic has bolstered a “climate delay” discourse. This has led environmental scholars and policymakers to express concern over how the relationship between economic recovery and decarbonization is being framed in current public discussions about post-pandemic economic recovery. To better understand how the climate delay discourse is mediated by local media and its potential impact on public support for green transformation, this article examines relevant coverage published by popular Toronto local media throughout 2020. A qualitative thematic analysis reveals a rising public demand for decarbonizing the Canadian economy. However, this demand has also been challenged by a counter storyline that seeks to divert public attention from the severe structural crisis underlying the fossil fuel sector. The study concludes by cautioning against “climate delay” narratives’ potential suppression of public support for green economic recovery.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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