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Record W4281719511 · doi:10.22329/wyaj.v37i1.7283

Access to Justice as a Social Determinant of Health: The Basis

2022· article· en· W4281719511 on OpenAlexaffvenueabout
Sunam Jassar

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEconomic JusticeScope (computer science)Framing (construction)Political scienceRealmHealth equityGovernment (linguistics)SociologyPublic relationsPublic administrationLawHealth careGeography

Abstract

fetched live from OpenAlex

Health disparity in Canada is continuing to grow with marginalized communities being disproportionately affected. Policies and actions implemented by the federal government have been ineffective in addressing underlying causes of poor health. Framing access to justice as a social determinant of health is a necessary first step to establish a comprehensive and interdisciplinary approach to address poor health outcomes. Through an analysis of the limitations of access to justice as a legal term and the application of access to justice in health outcomes, this article hopes to foster further collaboration between the medical and legal communities in this area. art I of this paper argues the need to expand the scope of access to justice beyond the legal realm. Part II highlights the increasing health disparity within Canada and critiques the current approach. Part III outlines the ways in which health disparity can be improved if access to justice is recognized as a social determinant of health. The paper concludes with discussing progress that can be made in both the legal and medical community as a result of widening the scope of access to justice. Through an analysis of the limitations of access to justice as a legal term and the application of access to justice in health outcomes, this paper hopes to foster further collaboration between the medical and legal communities in this area.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.184
GPT teacher head0.525
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2022
Admission routes3
Has abstractyes

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