Fear, Risk, and the Responsible Choice: Risk Narratives and Lowering the Rate of Caesarean Sections in High-income Countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Canada, as elsewhere in the world, caesarean sections are the most common surgical procedure performed in hospitals annually. Recent national statistics indicate 28% of infants in Canada are born by c-section while in the United States that number rises to 33%. This is despite World Health Organization recommendations that at a population level only 10-15% of births warrant this form of medical intervention. This trend has become cause for concern in recent decades due to the short and long-term health risks to pregnant women and infants, as well as the financial burden it places on public health care systems. Others warn this trend may result in a collective loss of cultural knowledge of a normal physiological process and, in the process, establish a new "normal" childbirth. Despite a range of interventions to curb c-section rates-enhanced prenatal care and innovation in pregnancy monitoring, change in hospital level policies, procedures and protocols, as well as public education campaigns-they remain stubbornly resistant to stabilization, let alone, reduction in high-income countries. We explore-through a review of the academic and grey literature-the role of cultural and social narratives around risk, and the responsibilization of the pregnant woman and the medical practitioner in creating this kind of resistance to intervention today.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it