Reconsidering Politics as a Man’s World: Images of Male Political Leaders in France and Norway
Bibliographic record
Abstract
Researchers have often pointed to the masculine norms that are integrated into politics. This article explores these norms by studying male images of politics and power in France and Norway from 1945 to 2009. Both dress codes and more general leadership styles are discussed. The article shows changes in political aesthetics in both countries since the Second World War. The most radical break is seen in the way Norwegian male politicians present themselves. The traditional Norwegian leadership ethos of piety, moderation, and inward orientation is still important, but it is not as self-effacing and inelegant as it used to be. However, compared to the leaders in French politics, who still live up to a heroic leadership ideal marked by effortless superiority and seduction, the Norwegian leaders look modest. To explain the differences in political self-presentation and evaluation we argue that cultural repertoires are not only national constructions but also gendered constructions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".