Challenges Faced by Practitioners Accessing Jordan’s Principle: A Commentary
Bibliographic record
Abstract
The Canadian Human Rights Tribunal has adjudicated that substantive equality is not met in the implementation of Jordan’s Principle. Further, there is evidence that each province and territory receive differential support and access to funding via Jordan’s Principle, resulting in ongoing health inequities. This commentary draws on a qualitative study conducted between 2021-2022 that explored Indigenous Services Canada’s administrative functioning at the locus where frontline clinical and administrative practitioners apply for funding through the federal bureaucracy of Jordan’s Principle. As affected parties, practitioners (n=41) provided an evidence-informed perspective on specific mechanisms and processes that are of concern. Le Tribunal canadien des droits de la personne a jugé que l’égalité réelle n’était pas respectée dans la mise en œuvre du principe de Jordan. En outre, il y a des preuves que chaque province et territoire bénéficie d’un soutien et d’un accès au financement différents dans le cadre du principe de Jordan, ce qui se traduit par des inégalités persistantes en matière de santé. Ce commentaire s’appuie sur une étude qualitative menée entre 2021 et 2022 qui a exploré le fonctionnement administratif des Services aux Autochtones Canada à l’interface où les praticiens cliniques et administratifs de première ligne demandent un financement par le biais de la bureaucratie fédérale du principe de Jordan. En tant que parties concernées, les praticiens (n=41) ont fourni une perspective éclairée par des données probantes sur les mécanismes et processus spécifiques qui sont préoccupants.
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 | 0.042 | 0.116 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.034 | 0.038 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.010 | 0.009 |
| Research integrity | 0.062 | 0.061 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".