Picturing Politics: Female Political Leaders in France and Norway
Bibliographic record
Abstract
This article explores images of high-level female politicians in France and Norway from 1980 to 2010, examining the ways in which they present themselves to the media and their subsequent reception by journalists. Women in French politics experience difficulties living up to a masculine heroic leadership ideal historically marked by drama, conquest, and seductiveness. In contrast, Norwegian female politicians have challenged the traditional leadership ethos of conspicuous modesty and low-key presentation. We argue that images of French and Norwegian politicians in the media are not only national constructions; they are also gendered. Seven images of women in politics are discussed: (1) men in skirts and ladies of stone, (2) seductresses, (3) different types of mothers, (4) heroines of the past, (5) women in red, (6) glamorous women, and (7) women using ironic femininity. The last three images-color, glamour, and irony-are identified as new strategies female politicians use to accentuate their positions of power with signs of female sensuality. It is thus possible for female politicians to show signs of feminine sensuality and still avoid negative gender stereotyping.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".