“We Couldn’t Do That Even if We Wanted To”: Family and Natality in <i>Veep</i> and <i>House of Cards</i> (US)
Bibliographic record
Abstract
Veep (2012–19) and House of Cards (2013–18), as political fictions and adaptations of UK series, provide an opportunity to consider the political significance and thematic mode of Martin Shuster’s “new television” within the specific contexts of both American politics and television. In these series’ invocations of the family, they challenge the idea that, as the sole remaining grounds for normative justification, family lies outside the vortex of late capitalism. In deploying the motif of natality, they foreground the figure of the pregnant woman complicating the supposed relation between natality, politics, and the political. In so doing, these series suggest that we cannot, through natality incubated in the family, “conceive of politics differently” without addressing politics as it is.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".