Confessions of a Celebrity Mom: Brooke Shields's <i>Down Came the Rain: My Journey through Postpartum Depression</i>
Bibliographic record
Abstract
In “Confessions of a Celebrity Mom: Brooke Shields's Down Came the Rain,” I look at Brooke Shields's recent memoir of postpartum depression as exemplifying the mythic thinking that, according to Anne Hunsaker Hawkins, characterizes autopathography as a genre. In particular, I examine the rhetorical strategies and appeals by which, in the context of her celebrity, Shields defends herself against the shame and stigma attached to postpartum depression in a culture that both idealizes and devalues motherhood. The memoir is an honest yet canny disclosure of intimate moments of depression, shame, and suicidal thinking: in it, the author both exposes herself to the public eye (and attacks by Tom Cruise) and, drawing on the allure of her celebrity, veils herself and her privileged life from any real scrutiny.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".