Health inequalities in the Caribbean: increasing opportunities and resources
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
Social inequalities in health are not a priority in the Caribbean region. However, a few studies suggested such disparities and indicators show important socioeconomic disparities between and within countries. There are indications that governments' investment in health and other social programs is insufficient in the region and that regional health institutions that guide national health policies and programs do not make the reduction of social inequalities a priority. Furthermore, the public health sector is generally weak and health services are mainly focusing on curative services. The author argues that there is a need to develop and to implement social policies that include equity and social justice as core values. In order to increase the focus on health inequalities in the region, there is also a need to strengthen the Public Health field that integrates Health Promotion strategies. It is also suggested that international, regional and national health sectors that include academic and research institutions, health-related journals and associations, and non-governmental organizations put health inequalities in the Caribbean on their agenda. Furthermore, there should be a fundamental switch from a biomedical perspective of health to a paradigm that considers health as the expression of political, social and economic circumstances.
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 | 0.007 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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