NON-GOVERNMENTAL ORGANIZATIONS AND VOLUNTEER ACTIONS TO COUNTER ELDER ABUSE
Bibliographic record
Abstract
Non-Government Organisations (NGOs) play an important role in the province of Québec’s continuum of services to counter elder abuse (EA) where there is no specific public agency to counter EA. They work in collaboration with police, public health services, victim’s assistance centres, etc. This paper describes research aimed at understanding these NGOs and especially their volunteers’ actions to counter EA. Multiple case studies (Yin, 2014) of 5 NGOs dedicated to EA including content analysis of administrative documents, 49 interviews (coordinators, practitioners, volunteers and older adults), 5 focus groups (board members) were conducted. Results: Although NGOs perform sensitisation, detection and follow-up of cases, volunteers are more involved in sensitisation/prevention activities. But, based on their past work experience (e.g. police officers, bank managers) volunteers play a crucial role in informing older adults of different possibilities of problem solving. Conclusion: Main challenges for NGOs are precarious funding, recognition of their mission, volunteer turnover.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".