Bibliographic record
Abstract
Vulnerability theory as developed in the Vulnerability and Human Condition Initiative is an alternative to a rights-based or social contract paradigm for thinking about foundation concepts of state responsibility. One fundamental premise of the theory is that the individuals and groups currently described as “vulnerable populations” should not be labelled vulnerable, nor should they be sequestered in discreet categories for the purposes of law and policy. This plea for their inclusion in a larger whole is not to deny that discrimination, harm, and relative disadvantage arising from all sorts of circumstances and situations exist. Nor is it to suggest that particular instances of harm should not be addressed by appropriate state action. Rather, it is an argument that “vulnerability” is the wrong concept to use to define and isolate these groups, or any other specific group, from the whole of humanity. Human vulnerability is universal and constant, inherent in the human condition. Recognizing the theoretical mandates of accepting the universal, vulnerability theory presents a “vulnerable subject” as the only appropriate object of law and policy. This inclusive, universal legal subject incorporates the realities of the ontological body and its life-long dependence on social institutions and relationships, building a theory of essential (not voluntarily or consensual) social cohesion and reciprocity in which the state (or governing system) has the responsibility to see that these vital social institutions and relationships operate justly.
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.
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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.053 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".