A Health Care System Divided
Bibliographic record
Abstract
From 1948 to 1994 South Africa was under the repressive Apartheid regime. Among many other actions taken to ensure white South Africans maintained power, the regime put in place discriminatory health policies that deprived black South Africans of equitable health care. As the apartheid era came to an end in 1994, the newly elected African National Congress sought to prioritize equity by creating the National Health Act. Despite this, major disparities in health care persist. Te purpose of this case study is to shed light on such disparities in the South African health system by using maternal health as a proxy. Mothers living in rural areas continually contend with barriers to access, afordability and availability. Rural areas account for about 46% of South Africa’s population but service provision is only 12% and 19% of the nation’s doctors and nurses respectively. The lack of medical professionals in these areas make it difcult for mothers to receive vital procedures, such as emergency obstetric care, without traveling unmanageable distances. Moreover, high transport costs ofset progress made by the elimination of out-of-pocket expenses and continues to make the cost of accessing care prohibitively expensive, accounting at times for 51.4% of household income.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.072 | 0.006 |
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".