The case for self-regulation of infection prevention and control professionals in Ontario, Canada
Bibliographic record
Abstract
As members of the Ontario Infection Control Professionals Action Coalition (OICPAC), we write to highlight a critical gap in Ontario’s healthcare system, the absence of regulation for Infection Prevention and Control (IPAC) professionals. Despite playing an essential role in safeguarding patient safety and public health, IPAC professionals are not a recognized or self-regulated health profession in Ontario (or elsewhere in Canada). They lack title protection, entry-to-practice requirements, a regulatory body, and a legislative framework. IPAC professionals in Ontario come from diverse fields such as laboratory science, nursing, medicine, microbiology, public health, and more, including internationally trained healthcare professionals. While these backgrounds offer foundational knowledge, none provides the specialized formal training required for effective IPAC practice. Many pursue voluntary educational certificates such as those offered by IPAC Canada, and/or attempt certification exams through the U.S.-based Certification Board of Infection Control (CBIC). However, without regulation, entry-to-practice standards, accountability, and advocacy remain inconsistent, and public safety can be compromised. The need for a Canadian certification framework remains urgent but lies beyond the scope of this letter.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".