Integrating a Community Paramedicine Program with Local Health, Aged Care and Social Services: An Observational Ethnographic Study
Bibliographic record
Abstract
We used an observational, ethnographic research approach to identify the nature of the relationship between public engagement and the successful integration of a community paramedicine program with local health, aged care and social services in rural Ontario. Data were collected through a combination of direct observations of practice, informal discussions, interviews and focus groups. We found evidence of public engagement during the planning and implementation stages of the program, with strong participatory processes evident. There was some evidence of a culture of inclusiveness, despite the strength of the command and control heritage in emergency health services. The community paramedicine model is well placed to facilitate greater integration between paramedic services and health, aged and social services. Public engagement incorporating both participation and inclusiveness can lead to a closer alignment and integration between paramedic services and other services. This ‘grass-roots’ approach to interacting with local communities has the potential to better integrate paramedic services as part of a less-fragmented system across the health, aged care and social service sectors.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".