Transforming the centre right in Germany and the United Kingdom: the increasing prominence of identity politics and “culture wars” narratives
Bibliographic record
Abstract
This manuscript examines the transformation of centre-right politics in Germany and the United Kingdom, focusing on how “culture wars” rhetoric and identity politics have influenced the political strategies of the CDU (Christian Democratic Union) and the UK Conservative Party. It explores how these parties have responded to the rise of right-wing populism, prominently through the framing of cultural issues such as migration, national identity, and gender politics. While the UK Conservatives have embraced nationalist-populist rhetoric, especially during the Brexit campaign, the CDU has maintained a more policy-driven, pragmatic approach. The article argues that while identity politics can be a powerful tool for voter mobilization, it risks alienating moderates and deepening societal divisions. Reflecting on the impact of the “cultural wars” rhetoric on competitive party politics, the study highlights the challenge for centre-right parties in balancing the demands of an increasingly polarized electorate with the need to preserve their traditional policy-focused, moderate conservatism in the face of populist pressures.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".