Access: Inside the Abortion Underground and the Sixty-Year Battle for Reproductive Freedom
Rebecca Grant
From the award-winning author of Birth, a journey into the underground activist networks that have been working to protect women’s autonomy over their bodies amidst legal, political, religious, and cultural oppression over the past sixty years. In this definitive, eye-opening history, award-winning author Rebecca Grant charts the reproductive freedom movement from the days before Roe through the seismic impact of Dobbs. The stories in Access span four continents, tracing strategies across generations and borders. Grant centers those activists who have been engaged in direct action to help people get the abortions they need. Their efforts involve no small measure of daring-do, spy craft, sea adventures, close calls, undercover operations, smuggling, sequins, legal dramas, victories, defeats, and above all, a deeply held conviction that all the risks are worth it for the cause.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Andrew Carnegie Medal for Excellence in NonfictionMajor | 2026 | Longlist | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
No argument inferred with sufficient confidence.
This suggestion did not meet the normal display threshold and is more likely to be wrong.
Underground activist networks have been central to protecting reproductive freedom over the past sixty years, using direct action across legal, political, religious, and cultural oppression.
Model confidence 48%
04 Reading orientation
40 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 50%.