TEA WITH MOTHER: SARAH PALIN AND THE DISCOURSE OF MOTHERHOOD AS A POLITICAL IDEAL
Bibliographic record
Abstract
Seldom has someone emerged so unexpectedly and sensationally on to the American political scene as Sarah Palin. With Palin came what had rarely, if ever, been seen before on a presidential trail: hockey moms, Caribou-hunting, pitbulls in lipstick parcelled as political weaponry. And let’s not forget those five children, including Track 19, set to deploy to Iraq, Bristol, and her unplanned pregnancy at 17, and Trig, a six-month-old infant with Down’s syndrome. Never before had motherhood been so finely balanced with US presidential politics. Biological vigour translated into political energy, motherhood transformed into an intoxicating political ideal. This article focuses on Sarah Palin and how her brand of “rugged Alaskan motherhood” (PunditMom 2008) became central to her media image, as well as what this representation has to tell us about the relationship between mothering as a political ideal, US politics, and the media.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.007 |
| 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".