Framing Immigration in the Canadian and British News Media
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
Abstract Despite an extensive dialogue on the subject of immigration, there has been little systematic cross-national investigation into the framing of immigration in the news media. Understanding the evolution of frames is an important piece of how we conceive of the link between the public's political priorities and policy makers’ responses. While the multi-directional relationships that exist between media, public policy and public opinion often pose challenges to precisely extracting media effects, there is still much that can be said about how the content and tone of immigration frames change over time in response to major policy changes or focusing events. Using automated content analysis (ACA) of print news data from Canada and Britain, I examine immigration framing from 1999 to 2013, identifying immigration-related frames in print news coverage and identifying trends in the volume and tone of frames over time. Results offer insight into striking commonalities in the frames used by each country's print media, and the divergent evolution in the emphasis on certain frames over others, largely predicated on coverage of focusing events.
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 | 0.003 | 0.004 |
| 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