The Persistence of Induced Abortion in Cuba: Exploring the Notion of an “Abortion Culture”
Bibliographic record
Abstract
Cuba's annual induced abortion rate persistently ranks among the highest in the world, and abortion plays a prominent role in Cuban fertility regulation despite widespread contraceptive prevalence and state promotion of modern contraceptives. We explore this phenomenon using the concept of an "abortion culture," typically used in reference to Soviet and post-Soviet countries. We synthesize existing literature to provide a historical account of abortion and contraception in Cuba. We also provide a qualitative analysis of abortion and contraceptive use based on in-depth interviews conducted in 2005 in Havana with 24 women who have had an abortion and 10 men whose partners have had an abortion. Information gained from a focus-group discussion with medical professionals also informed the study. Our four principal findings are: (a) longstanding awareness of abortion, (b) the view of abortion as a personal decision, (c) the influence of economic constraints on the decision to induce an abortion, and (d) general skepticism toward contraceptives. We discuss our results on abortion in Cuba in relation to the notion of social diffusion, an approach commonly used to explain the spread of fertility control throughout a population.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".