Relational Theory, Indigenous Peoples and Health Laws and Policies
Bibliographic record
Abstract
In relational theory, the self is seen as fundamentally constituted in terms of its relations to others: it not only lives in relationship with and to others, but also owes its very existence to such relationships. Being Relational explores core moral and metaphysical concepts through a relational-theory lens and analyzes how such considerations might apply to more practical areas of concern in health law and policy. Innovative and self-reflexive, this groundbreaking collection will appeal to a broad range of thinkers, especially those who seek to understand the complex ways in which power is created and sustained relationally.\nThis chapter considers the potential of relational theory for improving the conceptualization and treatment of Indigenous health matters. Indigenous health is a particularly pressing matter, given that Indigenous peoples have carried a disproportionate burden of ill health for decades in Canada. The chapter specifically considers how relational theory could inform health laws and policies. It illustrates how relational theory provides a conceptual framework that addresses some of the shortcomings of the social determinants approach to health, which is the approach that currently informs much of Indigenous health policy planning. While the social determinants approach is helpful for identifying elements of the context that informs Indigenous health, and identifying inequalities, its utility is weakened by the fact that it tends to take the individual as its subject and focus upon that which can be expressed in statistical form. Relational theory enables a recasting of the social determinants approach, a route for dislodging it from these constraining tenets. It succeeds in this respect because relational theory is grounded, in part, in the recognition of the co-constitutive nature of community and individuals, which has several important consequences. One of these consequences is that relational theory offers an approach to understanding health determinants that resonates better with Indigenous theories of health. Another is that relational theory enables the identification of relational dimensions of inequality, which may be invisible from a traditional social determinants approach but which are essential for understanding what sort of change is necessary to improve the health and well-being of Indigenous peoples.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.045 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".