National Competency Framework for Paramedics
Bibliographic record
Abstract
This is the first edition of CSA Z1660, National competency framework for paramedics. CSA Group acknowledges that the development of this Standard was made possible, in part, by the financial support of the Paramedic Association of Canada (PAC). The requirements in this Standard are the minimum requirements. They represent the consensus of the Technical Committee members, who represent a broad spectrum of interests. The Committee members are helped and encouraged by the comments received as a result of the wide distribution of a draft at the public review stage. This Standard reflects current paramedic practice in Canada in varied settings and contexts, and was informed by the following foundational documents: a) National Occupational Competency Profile (2011); b) Canadian Paramedic Profile (2017); c) Code of Ethics (2016); and d) Principles to Guide the Future of Paramedicine in Canada (2022). This Standard has been informed and enhanced by peer-reviewed research and best practice for the development of competency frameworks for the health professions. The draft competency framework was developed by a pan-Canadian development group in consultation with a wide range of stakeholders from across Canada. Revisions to the competency framework were made based on feedback received from pan-Canadian working groups, targeted feedback activities, and a public review. This Standard was prepared by the Technical Committee on National Competency Framework for Paramedics, under the jurisdiction of the CSA Strategic Steering Committee on Public Safety, and has been formally approved by the Technical Committee. This Standard has been developed in compliance with Standards Council of Canada requirements for National Standards of Canada. It has been published as a National Standard of Canada by CSA Group.
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 | 0.035 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.016 | 0.010 |
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".