Politicians as brands in parliamentary vs. presidential systems: A cross-national comparison
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 has shown that politicians, specifically candidates, are viewed by the electorate as brands (Guzmán et al., 2015; Harrison et al., 2023), and that their brand image has an effect on voting intention (Van Steenburg & Guzmán, 2019). However, in all of these cases, the research was conducted in a presidential political system, where the electorate vote directly for a politician to function as head of the government. In parliamentary systems, though, the electorate vote for members of parliament, from which the head of government is appointed either by a non-executive president or a hereditary monarch. Therefore, the electorate in these systems do not directly choose the leader of their government, which leads one to question whether a politician’s brand matters as much in a parliamentary system as it does when the electorate vote directly for the head of state. To answer that question, data were collected in two presidential systems (United States and Mexico) and two parliamentary systems (Canada and the United Kingdom) using methodology that tests a politician’s brand image. Results show that politicians’ brands help shape the affective response toward the politicians regardless of political system, and that one’s self-brand image is as important to shaping those attitudes in a parliamentary system as it is in a presidential one. This is important to political marketers working in parliamentary systems as strategies can be developed to create a politician’s brand image that is valuable for elections as well as when governing.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it