Structural Facilitators and Barriers to Access to and Continuity of French-Language Healthcare and Social Services in Ontario’s Champlain Region: A Qualitative Exploratory Study
Bibliographic record
Abstract
Purpose: The purpose of this article is to examine access to and continuity of Frenchlanguage healthcare and social services in Ontario' s Champlain region through an analytical framework that incorporates people seeking care, their caregivers and the linguistic component of care into a health and social service system bounded by community, organizational, political and symbolic structures.Methods: Experiences of French-speaking seniors seeking care and those of health and social service providers and managers from two qualitative exploratory studies are used to describe trajectories through the system.Results: Participants exposed how, together with community vitality, issues within each of the system' s symbolic, political or regulatory and organizational structures influence these trajectories.Conclusions: To meet the needs of francophone seniors, additional work is needed to increase French-language services coordination within the organizational, regulatory and policy structures of the health and social service system. RésuméObjectifs : Examiner l' accès aux services sociaux et de santé en français, ainsi que leur continuité, dans la région de Champlain en Ontario, à l' aide d' un cadre d' analyse qui inclut la personne qui demande des services, ses proches aidants et la composante linguistique des services, dans un système de services sociaux et de santé encadré par des structures communautaire, organisationnelle, politique et règlementaire, et symbolique.Méthode : Les expériences de francophones ayant besoin de services, ainsi que celle de fournisseurs et de gestionnaires de services, tirées de deux études qualitatives exploratoires menées par notre équipe, sont utilisées pour décrire des trajectoires dans le système.Résultats : Les participants démontrent comment chacune des structures symbolique, politique et règlementaire, organisationnelle, et communautaire influence ces trajectoires.Conclusion : Pour répondre aux besoins des ainés francophones en situation minoritaire, la coordination des services sociaux et de santé offerts en français devrait être améliorée, tant au sein de la structure organisationnelle que de la structure politique et règlementaire.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".