Message Content in Canadian Automotive Advertising: A Role for Regulation?
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
The message content of automotive advertising was examined to determine whether automotive advertising is meeting the needs of its stakeholders, and whether there is a need for it to become more highly regulated. A content analysis of 200 Canadian television and print advertisements revealed that 18 percent of ads demonstrate unsafe or aggressive driving, while 25 percent of ads feature safety mentions. Television ads are substantially more likely than print ads to feature unsafe or aggressive driving (27 percent vs. 10 percent, respectively), while TV ads are less likely than print ads to mention safety (21 percent vs. 29 percent, respectively). With nearly $550 million spent annually on Canadian automotive advertising, either industry self-regulation or government-imposed regulation may be needed in order to reduce advertising depictions of unsafe driving.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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