A scoping review protocol on social participation of indigenous elders, intergenerational solidarity and their influence on individual and community wellness
Bibliographic record
Abstract
INTRODUCTION: Indigenous elders have traditionally played an important role in maintaining social cohesion within their communities. Today, part of this role has been taken over by government social and healthcare services, but they are having limited success in addressing social challenges. Increasing elders' social participation and intergenerational solidarity might foster community development and benefit young people, families, communities and the elders themselves. However, knowledge of the contribution of elders' social participation and intergenerational solidarity to wellness is scattered and needs to be synthesised. This protocol presents a scoping review on the social participation of indigenous elders, intergenerational solidarity and their influence on individual and community wellness. METHODS AND ANALYSIS: This scoping review protocol is based on an innovative methodological framework designed to gather information from the scientific and grey literature and from indigenous sources. It was developed by an interdisciplinary team including indigenous scholars/researchers, knowledge users and key informants. In addition to searching information databases in fields such as public health and indigenous studies, an advisory committee will ensure that information is gathered from grey literature and indigenous sources. ETHICS: The protocol was approved by the Ethics Review Board of the Université du Québec en Abitibi-Témiscamingue and the First Nations of Quebec and Labrador Health and Social Services Commission. DISCUSSION: The comprehensive synthesis of the scientific and grey literature and indigenous sources proposed in this protocol will not only raise awareness within indigenous communities and among healthcare professionals and community organisations, but will also enable decision-makers to better meet the needs of indigenous people. CONCLUSION: The innovative methodological framework proposed in this scoping review protocol will yield richer information on the contribution of elders to community wellness. This work is an essential preliminary step towards developing research involving indigenous communities, drawing on the social participation of elders and intergenerational solidarity.
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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 | 0.286 | 0.258 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.021 | 0.019 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.014 | 0.010 |
| Insufficient payload (model declined to judge) | 0.071 | 0.019 |
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".