L’enseignement adapté à la personne âgée : une analyse évolutionniste de concept
Bibliographic record
Abstract
Many health programs provide "counseling" services that aim to support clients in their self-care. Although the concept of adapted education for the elderly is important for nursing practice, there is currently no consensus of its definition. An analysis of "adapted education for the elderly" following the six steps of Rodgers' evolutionary approach was conducted in order to identify the essential characteristics of the concept and to define its use in nursing. A literature review drawing upon several databases (Abstract in Social Gerontology, AgeLine, CINAHL, ERIC, and PsycINFO) identified twenty-six papers on this subject published between 1988 and 2016. After analysis, four key characteristics were identified to describe the concept: the uniqueness of the older learner, the presence of a competent and aware educator, the four-step process of the session, and the use of adapted teaching strategies for the older learner. Finally, the use of this concept in nursing remains erratic. To facilitate its operationalization, more studies and theories must be developed on the subject.
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 | 0.020 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".