Political marketing : a comparative perspective
Bibliographic record
Abstract
1. Introduction: Rethinking political party behaviour - Darren G. Lilleker & Jennifer Lees-Marshment 2. Political marketing in the UK: A positive start but an uncertain future - Jennifer Lees-Marshment and Darren G. Lilleker 3. American political marketing: George W. Bush and the Republican Party - Jonathan Knuckey and Jennifer Lees-Marshment 4. Canadian political parties: Market-oriented or ideological slagbrains? - Alex Marland 5. Marketing the message or the messenger? The New Zealand Labour Party 1990-2003 - Chris Rudd 6. Political marketing in Irish politics:The case of Sinn Fein - Sean McGough 7. Political marketing in Germany: The case of the SPD - Charles Lees 8. The rise andfall of populism in Austria: A political marketing perspective - Andreas Lederer, Fritz Plasser and Christian Scheucher 9. Change to win? The 2002 general election PT marketing strategy in Brazil - Josiane Cotrim Macieira 10. The re-launch of the APRA Party: The use of political marketing in Peru in a new political era - Pedro Patron Galindo 11. Scottish political marketing in a devolved system - Declan Bannon and Robbie Mochrie 12. Conclusion: Towards a comparative model of party marketing - Darren G. Lilleker & Jennifer Lees-Marshment -- .
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 teacher head, 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".