Current Concepts in Oral–Systemic Health
Bibliographic record
Abstract
The International Centre for Oral–Systemic Health is based at the University of Manitoba’s faculty of dentistry. Its core mission was developed around interprofessional education, research and practice models where oral health is a critical component of comprehensive patient care. As part of the educational component of its mission, the centre will provide a valuable service to stakeholders in the dental community by scanning the latest research and writings as well as best practices in oral–systemic medicine. The centre is proud to partner with the JCDA to provide summaries of contemporary literature and news in oral–systemic health that may affect modern dental practice. This month’s article discusses the need for interprofessional education. Practising Oral–Systemic\tMedicine:\t The\tNeed\tfor\tInterprofessional\tEducation The increased awareness of oral–systemic connections, an aging population, an increase in chronic illnesses and a lack of access to preventive oral care in high-risk populations require significant changes to current health care systems and practices in order to provide effective comprehensive health care. The purpose of interprofessional education (IPE) is to engage various health professions in collaborative practice to improve the overall health of the public.1 As the challenge of providing health care to the public increases, so does the disconnect between traditional dental prac-tice and the comprehensive health care model required for optimum health and wellness. In order for the dental profession to maintain its importance as a primary care discipline, it must implement strategies to position oral health as a critical com-ponent of overall health.2 IPE provides a unique opportunity to prepare current and future practitioners to work in the ever-changing health care environment.
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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.052 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".