Vulnerability, Health Agency and Capability to Health
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
One of the defining features of the capability approach (CA) to health, as developed in Venkatapuram's book Health Justice, is its aim to enable individual health agency. Furthermore, the CA to health hopes to provide a strong guideline for assessing the health-enabling content of social and political conditions. In this article, I employ the recent literature on the liberal concept of vulnerability to assess the CA. I distinguish two kinds of vulnerability. Considering circumstantial vulnerability, I argue that liberal accounts of vulnerability concerned with individual autonomy, align with the CA to health. Individuals should, as far as possible, be able to make health-enabling decisions about their lives, and their capability to do so should certainly not be hindered by public policy. The CA to health and a vulnerability-based analysis then work alongside to define moral responsibilities and designate those who hold them. Both approaches demand social policy to address circumstances that hinder individuals from taking health-enabling decisions. A background condition of vulnerability, on the other hand, even though it hampers the capability for health, does not warrant the strong moral claim proposed by the CA to health to define health as a meta-capability that should guide social policy. Nothing in our designing social policy could change the challenge to health agency when we deal with background conditions of vulnerability.
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 | 0.062 | 0.064 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.008 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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