Framing the climate change and human mobility nexus in Canada: from discourse to policy?
Bibliographic record
Abstract
My dissertation examines how media and policy actors in Canada frame the intersection of climate change and human mobility. I address two gaps in the literature: (1) how the nexus of climate change and human mobility is emerging as an issue at the national and sub-national level in Canada; and (2) the conceptual connections and contradictions between internal mobility and global mobility in the context of a changing climate. I examine and compare how policy actors and newspapers frame the issue and related policies in Canada at multiple governance levels and in four newspapers (two local, two national) by drawing on discourse and frame analysis. My research reveals that policy makers and newspapers frame the intersections of climate change and human mobility differently depending on where the mobility takes place (within Canada or beyond) and the context in which the framing occurs. These different framings reflect different representations of the problem (or problem definitions) and therefore require different policy options or responses.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.039 | 0.043 |
| Scholarly communication | 0.027 | 0.009 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".