Editorial Beyond 1999: A Research Agenda
Bibliographic record
Abstract
It is now almost a year since the close of The International Year of Older Persons (IYOP).IYOP provided a focus for increasing awareness of population aging and the status of older people in various parts of the world.Canada hosted the conference of the International Federation on Aging which brought together in Montreal a diverse group of people from around the world whose interests in aging encompassed advocacy, policy and seniors' issues.At the Canadian Association on Gerontology (CAG) annual conference in Ottawa, the theme "Challenges for the Next Millennium" was used as a forum for developing a vision of upcoming policy, practice and research questions needed to address the next cohort of Canadian seniors.The National Advisory Council on Aging (NACA) took this heightened awareness of aging as an opportunity to write a document reflecting thenviews of important issues in aging for the next decade (NACA, 1999).These included a recognition of the diversity of seniors' needs and resources, economic and health status and living situations.As part of its IYOP activities, the CAG undertook the development of a research agenda on aging, using the NACA issues document as a basis.The work began with the development of research issues papers by representatives of CAG divisions.Authors were asked to consider what the components of a national research agenda might look like from their disciplinary perspectives in health and biological sciences, social policy, psychology and social sciences.Papers were presented at a symposium at the CAG conference in Ottawa.Issues raised in these papers were remarkably similar.They included the belief that a research agenda on aging must be built on a systematic analysis of the contexts and theories that shape our research questions; that there are key topics that must be addressed across disciplines; and that new research structures must be adopted.In this editorial we present our perspective on the three main issues comprising a national research agenda on aging: research contexts, research topics, and research structures and approaches. Research ContextsAn important issue to emerge from the symposium was the need to address the ideological contexts of gerontology research.Researchers as experts are powerful definers of which aging issues are worthy of being examined.The questions asked or not asked shape the knowledge base of gerontology."Curiosity driven" research has been a mainstay of academe, defining
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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 | 0.020 | 0.063 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.018 | 0.016 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.046 | 0.021 |
| Insufficient payload (model declined to judge) | 0.033 | 0.015 |
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".