International education research issues in meeting the oral health needs of geriatrics populations: an introduction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2005, the World Health Organization outlined priorities for geriatric oral health and recommended education for oral health care providers in both biomedical and psychosocial aspects of care for older people.1 In order to reassess the existing educational systems and training needs of those serving increasingly elderly societies, this topic was made the focus of two international symposia held in 2008—the first at the American Association for Dental Research (AADR) Annual Meeting in Dallas2 and the second at the International Association for Dental Research (IADR) General Session in Toronto.3 Revised versions of the papers presented by some of the speakers who contributed to these meetings are being published here. The overall purpose of the symposia was to propose a research framework for use in the development of educational practice. The specific aims were to: (1) describe current practice in the education and training of those serving the oral health needs of the geriatric population; (2) seek understanding of the relationship of educational systems to the oral health status, needs, and demographics of the geriatric population, exploring cross-national differences; and (3) consider the challenges and opportunities for educational research to improve the oral health and promote the well-being of the geriatric population. This introduction provides a summary of the three principal themes that emerged from the meetings: defining older adults, geriatric dental education, and research issues. The introduction concludes with suggested dimensions that might be included in a research framework.
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.
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 | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it